{"meta":{"query_hash":"65828211aece","filters":{"topic":"Cloud Data Security Solutions"},"cohort_total":262,"direct_labels_cover":1,"predictions_cover":262,"exported":262,"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/65828211aece","api":"https://metacan.xera.ac/api/v1/cohort?topic=Cloud+Data+Security+Solutions"},"results":[{"id":"W104003055","doi":"","title":"Architecture and implementation of a trust model for pervasive applications","year":2008,"lang":"en","type":"article","venue":"e-publications - Marquette  (Marquette University)","topic":"Cloud Data Security Solutions","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":"Queen's University","funders":"","keywords":"Computer science; Context (archaeology); Service (business); Ubiquitous computing; Computer security; Computational trust; Inference; Trust anchor; Value (mathematics); Human–computer interaction; Artificial intelligence; Business","score_opus":0.019871648592993188,"score_gpt":0.24115917134188172,"score_spread":0.22128752274888852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W104003055","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":[0.008700081,0.000123997,0.983809,0.00048475937,0.00005814306,0.00025960826,0.000057571542,0.003837089,0.0026696625],"genre_scores_gemma":[0.3476245,0.00043867133,0.6415093,0.00033082993,0.000078244695,0.0006528851,0.00042332057,0.0005076403,0.008434638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978969,0.00042482663,0.00037218953,0.0003237724,0.0007616762,0.0002205968],"domain_scores_gemma":[0.99749774,0.00038004352,0.00023053915,0.0006988494,0.00090353994,0.0002893352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567852,0.0006405367,0.00071671203,0.0006928883,0.0012723374,0.00338414,0.002569851,0.0018030395,0.0020696535],"category_scores_gemma":[0.0054310733,0.0009940801,0.0011350461,0.0005697151,0.00085169985,0.0041818665,0.00243016,0.0029270896,0.0014137856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007732311,0.0008103424,0.009007873,0.0006900773,0.00032930743,0.0014392037,0.002756561,0.33026755,0.041119933,0.26953575,0.021432962,0.3218372],"study_design_scores_gemma":[0.00007591803,0.00018103872,0.0005512065,0.00006751852,0.00009943565,0.0002951012,0.00012583734,0.92324215,0.010882455,0.029360265,0.035044603,0.000074343225],"about_ca_topic_score_codex":0.0058179847,"about_ca_topic_score_gemma":0.004992182,"teacher_disagreement_score":0.0058179847,"about_ca_system_score_codex":0.0015708901,"about_ca_system_score_gemma":0.003054989,"threshold_uncertainty_score":0.013580263},"labels":[],"label_agreement":null},{"id":"W1481895439","doi":"10.1109/sp.2015.59","title":"Caelus: Verifying the Consistency of Cloud Services with Battery-Powered Devices","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Consistency (knowledge bases); Computer network; Computer security; Consistency model; Causal consistency; Service (business); Key (lock); Cloud storage; Strong consistency; Overhead (engineering); Data consistency; Database; Operating system; Sequential consistency","score_opus":0.031011665030810442,"score_gpt":0.25244123381536493,"score_spread":0.2214295687845545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481895439","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":[0.6924637,0.0016133745,0.23217767,0.0017340332,0.0006943565,0.0011566568,0.0017909311,0.057107348,0.011261772],"genre_scores_gemma":[0.9473423,0.00011717663,0.050046626,0.00023930696,0.00003444606,0.000103565435,0.0006381465,0.00041194208,0.001066578],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98430115,0.0041411603,0.0014875439,0.0025207945,0.00614469,0.0014046333],"domain_scores_gemma":[0.9625299,0.012789769,0.0034429745,0.014910042,0.004975275,0.0013521267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007224404,0.0012334671,0.0010595386,0.0011888949,0.001703834,0.0028612483,0.0052460157,0.001885962,0.0022212975],"category_scores_gemma":[0.043470547,0.0008625621,0.00084261666,0.0012728367,0.0030545215,0.007005357,0.0041120495,0.0023403117,0.00073785527],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009569989,0.0018574302,0.13036291,0.002142894,0.0011865012,0.0032709169,0.0037308796,0.25622213,0.105161764,0.087419756,0.055524047,0.34355077],"study_design_scores_gemma":[0.00047770064,0.0006675952,0.0065677674,0.00010912087,0.00011496711,0.0007600129,0.000557434,0.9081396,0.056155268,0.014813168,0.011496008,0.00014140803],"about_ca_topic_score_codex":0.019910855,"about_ca_topic_score_gemma":0.0142154675,"teacher_disagreement_score":0.019910855,"about_ca_system_score_codex":0.0026562435,"about_ca_system_score_gemma":0.0053124647,"threshold_uncertainty_score":0.039589882},"labels":[],"label_agreement":null},{"id":"W1483077715","doi":"10.1109/ccgrid.2015.12","title":"CloudSky: A Controllable Data Self-Destruction System for Untrusted Cloud Storage Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Hubei Province","keywords":"Cloud computing; Computer science; Cloud storage; Computer network; Distributed computing; Computer security; Operating system","score_opus":0.04816851920562932,"score_gpt":0.269472974160199,"score_spread":0.22130445495456968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483077715","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":[0.12331722,0.0013148709,0.82907206,0.0007642413,0.00045226587,0.0009154332,0.00043084534,0.034025043,0.009708037],"genre_scores_gemma":[0.90768754,0.00036421278,0.08237539,0.0002907698,0.00011686479,0.0002722796,0.0004630702,0.00051094097,0.007918916],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989857,0.00013998731,0.000077430224,0.00018119677,0.00044817734,0.00016751987],"domain_scores_gemma":[0.99835616,0.0002269771,0.00022965505,0.00070461404,0.00025906472,0.0002234362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009665558,0.0005311891,0.00061923254,0.0006270754,0.0013126613,0.00158924,0.002306774,0.0007501102,0.0026662126],"category_scores_gemma":[0.00192445,0.00031278873,0.00042444942,0.00050499715,0.0012549536,0.0034835865,0.003271757,0.001114743,0.0008707083],"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":[0.004452588,0.0010296856,0.009098186,0.0010502362,0.00037075594,0.0022163321,0.002816011,0.086559966,0.29525802,0.14391151,0.058688853,0.39454785],"study_design_scores_gemma":[0.00030110884,0.0005408421,0.0034010117,0.000084650565,0.00012602341,0.0010187483,0.00025037915,0.743023,0.14586194,0.02076273,0.084370814,0.00025884007],"about_ca_topic_score_codex":0.0020517732,"about_ca_topic_score_gemma":0.0015658783,"teacher_disagreement_score":0.0026662126,"about_ca_system_score_codex":0.001258149,"about_ca_system_score_gemma":0.0015492102,"threshold_uncertainty_score":0.009128571},"labels":[],"label_agreement":null},{"id":"W1498159995","doi":"","title":"Privacy Issues vs. Pedagogical Benefits in Cloud Computing Implementation","year":2013,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Cloud Data Security Solutions","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":"University of Victoria","funders":"","keywords":"Cloud computing; Computer science; Internet privacy; Computer security; Information privacy; Business; Operating system","score_opus":0.07445618008114178,"score_gpt":0.3519994996616331,"score_spread":0.2775433195804913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498159995","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":[0.48160914,0.0017428283,0.16509734,0.11159197,0.0008916513,0.0007801278,0.00036663315,0.0006653818,0.23725493],"genre_scores_gemma":[0.9848446,0.00016642667,0.010175289,0.0013470403,0.00010643793,0.00008285063,0.00003388636,0.00006133407,0.0031821213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.95064443,0.023574773,0.0025067371,0.002154738,0.013553006,0.007566357],"domain_scores_gemma":[0.92268914,0.041969977,0.005936429,0.012884952,0.012801524,0.003717956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027252037,0.00027983933,0.00033518265,0.0012680438,0.003262195,0.011209371,0.0017865425,0.0029513245,0.010919144],"category_scores_gemma":[0.08528403,0.0005538107,0.0006935572,0.001849527,0.0032184846,0.012002611,0.004716643,0.005867438,0.0014127654],"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":[0.0008230897,0.0008838146,0.047347296,0.00041767367,0.00009283181,0.0005832262,0.0034463054,0.009718161,0.007165651,0.703254,0.00898795,0.21728013],"study_design_scores_gemma":[0.0005969064,0.0019225323,0.08878269,0.0024147686,0.000666688,0.0031959591,0.02919103,0.11098619,0.06524524,0.51706505,0.1796657,0.00026724586],"about_ca_topic_score_codex":0.0038786745,"about_ca_topic_score_gemma":0.0038812472,"teacher_disagreement_score":0.027252037,"about_ca_system_score_codex":0.0043017687,"about_ca_system_score_gemma":0.009803672,"threshold_uncertainty_score":0.14412427},"labels":[],"label_agreement":null},{"id":"W1518388044","doi":"10.5555/2499406.2499429","title":"CloudDT: efficient tape resource management using deduplication in cloud backup and archival services","year":2012,"lang":"en","type":"article","venue":"","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 British Columbia","funders":"","keywords":"Data deduplication; Backup; Computer science; Backup software; Cloud computing; Database; Cloud storage; Data loss; Computer network; Operating system","score_opus":0.01817186147617106,"score_gpt":0.26005411885113605,"score_spread":0.241882257374965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518388044","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":[0.2677008,0.0015743435,0.6970166,0.0008094632,0.00028140278,0.0006279454,0.0011830637,0.023184597,0.0076218173],"genre_scores_gemma":[0.70250595,0.0003216139,0.29212293,0.00017143777,0.000047026482,0.00009807256,0.0010760871,0.0003211886,0.0033356634],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996111,0.00006827059,0.00003429631,0.00009476545,0.00012466856,0.000066916284],"domain_scores_gemma":[0.99897087,0.00018162625,0.00009824144,0.00035522698,0.0002789392,0.00011514399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061721477,0.0006113144,0.00045601066,0.0006317382,0.00090041914,0.0014277359,0.0018945074,0.0005620913,0.0015167984],"category_scores_gemma":[0.001424357,0.00023443584,0.00034483397,0.0009462413,0.00032748998,0.0013207135,0.0011413194,0.00061336544,0.00062501273],"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":[0.0016408737,0.0007050351,0.008392288,0.0004668244,0.000116139636,0.00071248034,0.0004689327,0.29376563,0.09508242,0.010786399,0.032669067,0.55519396],"study_design_scores_gemma":[0.000052253556,0.0001143278,0.000844918,0.000011834767,0.000013368129,0.00018091984,0.00014390306,0.9536273,0.037527114,0.001747078,0.0057152812,0.000021801017],"about_ca_topic_score_codex":0.007703297,"about_ca_topic_score_gemma":0.0062297797,"teacher_disagreement_score":0.007703297,"about_ca_system_score_codex":0.0011493531,"about_ca_system_score_gemma":0.0013051238,"threshold_uncertainty_score":0.015316904},"labels":[],"label_agreement":null},{"id":"W1523164412","doi":"10.1109/bigdatacongress.2015.79","title":"Proof of Storage for Video Deduplication in the Cloud","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Cloud computing; Computer science; Cloud storage; Upload; Computer security; Database; Computer data storage; Big data; World Wide Web; Operating system","score_opus":0.05486321423260909,"score_gpt":0.30072869759690457,"score_spread":0.24586548336429548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523164412","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":[0.014584806,0.0040243585,0.9565179,0.0027449564,0.0010051996,0.000713461,0.0003372817,0.00060217315,0.019469906],"genre_scores_gemma":[0.680389,0.004495788,0.2994718,0.0013289892,0.0009052052,0.00083646335,0.0005046194,0.00015320712,0.011914942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99322826,0.0019193079,0.0006112064,0.00092104677,0.0027234869,0.0005967709],"domain_scores_gemma":[0.97956413,0.009794608,0.0016836569,0.0050639547,0.0034019079,0.00049173646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041123875,0.0006420513,0.0010703132,0.0014154305,0.0024685583,0.0043082866,0.0023706825,0.0024950719,0.005267267],"category_scores_gemma":[0.018790478,0.00065907394,0.001498271,0.0012050673,0.0034555015,0.008565255,0.0058496753,0.003428299,0.0015689669],"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":[0.00045728576,0.00014157963,0.00075754616,0.0014261652,0.0001265248,0.0018721183,0.0011104534,0.012838842,0.023932777,0.86247146,0.012084353,0.0827809],"study_design_scores_gemma":[0.00035015703,0.0008046625,0.00093564,0.0013985378,0.00025242736,0.007431189,0.00096918514,0.2914577,0.08535979,0.4599027,0.15068935,0.00044862798],"about_ca_topic_score_codex":0.00089169585,"about_ca_topic_score_gemma":0.0007521875,"teacher_disagreement_score":0.005267267,"about_ca_system_score_codex":0.0013779136,"about_ca_system_score_gemma":0.0034442341,"threshold_uncertainty_score":0.021748662},"labels":[],"label_agreement":null},{"id":"W1535024359","doi":"10.1109/scc.2015.36","title":"A Hierarchical Security-Auditing Methodology for Cloud Computing","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Tianjin University; National Science Foundation","keywords":"Cloud computing; Cloud computing security; Computer science; Audit; Computer security; Cloud service provider; Computer security model; Information security audit; Set (abstract data type); Security service; Security controls; Information security; Security information and event management; Business; Accounting; Operating system","score_opus":0.1367832344419319,"score_gpt":0.36142403164806736,"score_spread":0.22464079720613545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535024359","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":[0.025823258,0.00012489318,0.96297246,0.000550934,0.000030259307,0.0022030172,0.00022291875,0.0011447183,0.0069275117],"genre_scores_gemma":[0.14877394,0.00006395662,0.84902763,0.00007227998,0.000008755889,0.0006621903,0.00017783594,0.000059049147,0.0011543288],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9729301,0.012915387,0.0025379376,0.0023488535,0.00835218,0.0009155582],"domain_scores_gemma":[0.95310044,0.018191904,0.0067447526,0.008639226,0.012470679,0.0008530257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01947109,0.00082164496,0.0004654342,0.0067940434,0.0024226592,0.0033517852,0.0014719113,0.0009048807,0.0025208294],"category_scores_gemma":[0.050021853,0.0007734782,0.00096899923,0.0035007428,0.002570478,0.0040416173,0.0037453405,0.0020888369,0.00067013525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021294861,0.00082274387,0.045589402,0.0015204427,0.00016439143,0.00085523515,0.017738063,0.023901017,0.028640984,0.15092658,0.006892857,0.72273535],"study_design_scores_gemma":[0.00018504274,0.0011954545,0.04857785,0.0023766477,0.0003919455,0.0027974097,0.016877782,0.52807194,0.07963191,0.21027775,0.109077714,0.00053855364],"about_ca_topic_score_codex":0.005126248,"about_ca_topic_score_gemma":0.011910391,"teacher_disagreement_score":0.01947109,"about_ca_system_score_codex":0.0029333404,"about_ca_system_score_gemma":0.009429985,"threshold_uncertainty_score":0.102974236},"labels":[],"label_agreement":null},{"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":"W1616977212","doi":"","title":"Étude sur les incidences juridiques de l’utilisation de l’infonuagique par le gouvernement du Québec","year":2014,"lang":"fr","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.021547515513873964,"score_gpt":0.23918144775312633,"score_spread":0.21763393223925237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1616977212","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":[0.981739,0.00193302,0.00043814513,0.0010516004,0.00004295182,0.000042287047,0.005195726,0.000023360162,0.009534056],"genre_scores_gemma":[0.9909083,0.0014629702,0.00020857994,0.00016625287,0.000018524086,0.0000287816,0.0013134531,0.000009718511,0.0058833375],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910647,0.00012701126,0.00008865742,0.00010594775,0.00032816594,0.0002437943],"domain_scores_gemma":[0.9954561,0.0007927877,0.0012431071,0.00012864539,0.001869151,0.0005101852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007725655,0.00022625289,0.0002626682,0.0028755877,0.0015396843,0.001610375,0.0007676157,0.00067739596,0.0056686853],"category_scores_gemma":[0.004197645,0.0003082684,0.00045153376,0.004247222,0.0006989058,0.00079612015,0.00061037473,0.0015242579,0.0003491717],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057936955,0.00002813944,0.98601854,0.000049534792,0.00009245082,0.00023029788,0.002312007,0.00021257636,0.0002151207,0.0005922255,0.0021219496,0.008069063],"study_design_scores_gemma":[0.0000033235472,0.000016851087,0.99280035,0.00005807843,0.000020516369,0.00011522473,0.002612412,0.00035848195,0.00008989583,0.000022070632,0.0038894336,0.000013389464],"about_ca_topic_score_codex":0.98014575,"about_ca_topic_score_gemma":0.98439366,"teacher_disagreement_score":0.019854248,"about_ca_system_score_codex":0.011790909,"about_ca_system_score_gemma":0.011340673,"threshold_uncertainty_score":0.085549474},"labels":[],"label_agreement":null},{"id":"W1656089935","doi":"","title":"Proof of retrieval and ownership protocols for enterprise-level data deduplication","year":2013,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Cloud storage; Service provider; Database; Computer security; Data integrity; Information repository; Cloud computing security; Retrievability; Computer data storage; Service (business); World Wide Web; Operating system; Business","score_opus":0.33664699966642486,"score_gpt":0.4624783977350129,"score_spread":0.12583139806858806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1656089935","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":[0.008242523,0.0008727612,0.9802445,0.0014732615,0.0003112392,0.00061530754,0.00016258331,0.0006489894,0.007428888],"genre_scores_gemma":[0.52132076,0.0016837892,0.4573986,0.0014492446,0.0004637715,0.0014265863,0.000605995,0.00022456936,0.015426676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98683536,0.003713575,0.0016376367,0.0014570458,0.0051649716,0.0011913697],"domain_scores_gemma":[0.9623856,0.017865106,0.003063617,0.011367461,0.0044864346,0.00083179877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009861648,0.00069314754,0.0016199619,0.001995494,0.0028639566,0.0049220314,0.0039306083,0.0041625225,0.0052566766],"category_scores_gemma":[0.028727958,0.0011205625,0.0018885075,0.0018564697,0.0049629235,0.013729575,0.011925215,0.0065748366,0.0017326361],"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":[0.00045653,0.00028910945,0.00063658244,0.000702334,0.0001592508,0.0010278624,0.0017414958,0.018822573,0.014099943,0.8687731,0.008846508,0.08444461],"study_design_scores_gemma":[0.00053465593,0.00052096037,0.00064776407,0.0005052317,0.00023556371,0.0023324578,0.00084784214,0.3262296,0.04825877,0.5411955,0.07823278,0.00045894907],"about_ca_topic_score_codex":0.0010287998,"about_ca_topic_score_gemma":0.00090823876,"teacher_disagreement_score":0.009861648,"about_ca_system_score_codex":0.0024524832,"about_ca_system_score_gemma":0.005310953,"threshold_uncertainty_score":0.052154005},"labels":[],"label_agreement":null},{"id":"W16618132","doi":"10.1021/la053324f","title":"Sync&Share North Rhine-Westphalia","year":2014,"lang":"en","type":"article","venue":"European Conference on Information Systems","topic":"Cloud Data Security Solutions","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":"Western University","funders":"","keywords":"Cloud computing; sync; Reputation; Computer science; Context (archaeology); Order (exchange); World Wide Web; Business; Political science; Telecommunications","score_opus":0.03193923799635014,"score_gpt":0.23546148845746143,"score_spread":0.20352225046111128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W16618132","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009127146,0.013841925,0.0031715499,0.002952099,0.0013142293,0.0002067408,0.007564057,0.0017605445,0.9600618],"genre_scores_gemma":[0.026119329,0.0071293437,0.0022797924,0.00065486354,0.000101437654,0.00010604198,0.0039026015,0.00084781455,0.9588588],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993598,0.000043329233,0.000035018114,0.00019773681,0.0001732112,0.00019094723],"domain_scores_gemma":[0.9993672,0.00006759077,0.00007373087,0.00011691854,0.00011005877,0.00026448976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047377282,0.001292186,0.0006482286,0.0013422602,0.00084974064,0.0029819682,0.00097129244,0.001543775,0.6314451],"category_scores_gemma":[0.00064653845,0.000400612,0.00043902898,0.0012509604,0.0008753964,0.0016403534,0.0023848042,0.00084826304,0.4770868],"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":[0.0009936122,0.00020582185,0.0016704203,0.001368367,0.00006273818,0.0038529322,0.00022633407,0.0013101803,0.028022263,0.021772176,0.28900596,0.65150917],"study_design_scores_gemma":[0.000045828518,0.00007675959,0.002099756,0.0002425258,0.000014881192,0.0013356461,0.00012890057,0.00021763396,0.0031709496,0.0010156617,0.9916347,0.000016674348],"about_ca_topic_score_codex":0.004075352,"about_ca_topic_score_gemma":0.005527123,"teacher_disagreement_score":0.6314451,"about_ca_system_score_codex":0.0010526442,"about_ca_system_score_gemma":0.0016937226,"threshold_uncertainty_score":0.5256988},"labels":[],"label_agreement":null},{"id":"W185011072","doi":"10.1007/978-3-642-33536-5_12","title":"Formal Verification of Security Preservation for Migrating Virtual Machines in the Cloud","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; Ericsson (Canada); Concordia University","funders":"","keywords":"Computer science; Cloud computing; Computer security; Virtual machine; Software engineering; Programming language; Operating system","score_opus":0.026264346302484514,"score_gpt":0.2682224568085786,"score_spread":0.2419581105060941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W185011072","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":[0.03666441,0.00023270847,0.95397246,0.0006564204,0.00013519994,0.00018600475,0.00015507093,0.0022488788,0.0057487935],"genre_scores_gemma":[0.7747532,0.00033688385,0.21959403,0.000264881,0.000121644465,0.00023338712,0.00036773455,0.0004936392,0.00383462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946108,0.0017620733,0.0004214918,0.00065947877,0.0016038063,0.0009423212],"domain_scores_gemma":[0.98722214,0.0081125125,0.00078613264,0.0024921112,0.001183299,0.0002037369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005363683,0.00093353435,0.000870025,0.000874159,0.001084024,0.0037291276,0.003265833,0.0014356922,0.003063284],"category_scores_gemma":[0.01636438,0.0011221317,0.0025753754,0.00058281975,0.005168307,0.004587769,0.0034123282,0.003063357,0.00056267425],"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":[0.00051389314,0.00033248516,0.0023404513,0.00076552556,0.00015549181,0.00073001784,0.0012584698,0.26337993,0.027238041,0.62803304,0.00323893,0.07201372],"study_design_scores_gemma":[0.00017076233,0.00013661938,0.00043968525,0.00017741376,0.00013247225,0.00021231378,0.00022037278,0.5966946,0.03708102,0.35715735,0.0075119883,0.000065377506],"about_ca_topic_score_codex":0.0066233664,"about_ca_topic_score_gemma":0.004929137,"teacher_disagreement_score":0.0066233664,"about_ca_system_score_codex":0.0023712295,"about_ca_system_score_gemma":0.0045388,"threshold_uncertainty_score":0.028366208},"labels":[],"label_agreement":null},{"id":"W1974304004","doi":"10.1109/tsc.2013.2295611","title":"Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":321,"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; Revocation; Cloud computing; Audit; Data integrity; Computer security; Data sharing; Database; Operating system; Overhead (engineering)","score_opus":0.04147783546398809,"score_gpt":0.27580631498820024,"score_spread":0.23432847952421215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974304004","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":[0.12681034,0.0012842003,0.8299044,0.0014674856,0.00050466135,0.001054263,0.0004869684,0.03266724,0.0058204588],"genre_scores_gemma":[0.8898837,0.00021202333,0.105394475,0.00026342223,0.00010176299,0.0002042983,0.00037564524,0.00054739945,0.003017249],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98878187,0.0035024225,0.0010240203,0.0015985827,0.0033224118,0.0017705527],"domain_scores_gemma":[0.96654284,0.0037544342,0.0031959198,0.022480551,0.002531369,0.0014949283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069159684,0.00082277553,0.0017720686,0.0012312698,0.002547233,0.003811091,0.0042287013,0.001411383,0.0023902797],"category_scores_gemma":[0.015840268,0.00095601054,0.0010884564,0.0017831296,0.0025551345,0.009880266,0.009275175,0.0032654435,0.0009913953],"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":[0.0075401426,0.0020815872,0.022090547,0.0009965169,0.0005663764,0.0022980985,0.0026782318,0.07829262,0.0806496,0.13014023,0.034713708,0.63795245],"study_design_scores_gemma":[0.0005220006,0.0005490999,0.0034824125,0.00012403652,0.00019846721,0.0013749646,0.00042849462,0.84526706,0.062663466,0.056173738,0.028941816,0.0002743569],"about_ca_topic_score_codex":0.0043692617,"about_ca_topic_score_gemma":0.0024263023,"teacher_disagreement_score":0.0069159684,"about_ca_system_score_codex":0.0021870066,"about_ca_system_score_gemma":0.007091857,"threshold_uncertainty_score":0.036575615},"labels":[],"label_agreement":null},{"id":"W1978971433","doi":"10.1109/cloudnet.2013.6710574","title":"Service-oriented trust and reputation management system for multi-tier cloud","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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 British Columbia","funders":"","keywords":"Cloud computing; Computer science; Service provider; Service level objective; Computer security; Trust management (information system); Reputation; Reliability (semiconductor); Service (business); Service delivery framework; Cloud service provider; Cloud computing security; Service design; Business","score_opus":0.02420949511221372,"score_gpt":0.2583950830271773,"score_spread":0.23418558791496358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978971433","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":[0.15720215,0.00066422485,0.82361615,0.0013450042,0.00023755014,0.0005841955,0.00023674726,0.008060548,0.008053419],"genre_scores_gemma":[0.9311634,0.000091999274,0.06644408,0.000081122125,0.000051931525,0.0000828016,0.00011880864,0.00004309424,0.0019226647],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977028,0.00065471977,0.00026912088,0.00037787764,0.0007091222,0.00028644953],"domain_scores_gemma":[0.9956801,0.00060891075,0.0006580581,0.00073063024,0.0016312184,0.00069103006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029338147,0.00048810482,0.0008233688,0.0010168426,0.0020684523,0.002688489,0.0014972913,0.00090332545,0.0016722024],"category_scores_gemma":[0.005910158,0.00030779236,0.0006507362,0.00078012916,0.00057255453,0.0032212238,0.0017816256,0.0010032357,0.0006363401],"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":[0.0027303835,0.0018015237,0.05114696,0.0004217086,0.000678759,0.0023549949,0.00236931,0.23987582,0.05331822,0.08308995,0.030704653,0.5315077],"study_design_scores_gemma":[0.000046026395,0.00021488067,0.0028223975,0.00001709779,0.00011178331,0.0002950743,0.00015566208,0.98042566,0.0049257535,0.0071749166,0.003729086,0.000081825005],"about_ca_topic_score_codex":0.009652701,"about_ca_topic_score_gemma":0.010375768,"teacher_disagreement_score":0.009652701,"about_ca_system_score_codex":0.0021567692,"about_ca_system_score_gemma":0.0021046493,"threshold_uncertainty_score":0.019193053},"labels":[],"label_agreement":null},{"id":"W1992547760","doi":"10.1109/cloud.2013.123","title":"Secure Enterprise Data Deduplication in the Cloud","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Cloud computing; Computer science; Enterprise data management; Cloud computing security; Cloud storage; Service provider; Outsourcing; Computer security; Data virtualization; Database; Context (archaeology); Upload; Service (business); Enterprise information system; World Wide Web; Business; Virtualization; Operating system","score_opus":0.033758197811774075,"score_gpt":0.27909885465030476,"score_spread":0.24534065683853068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992547760","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":[0.28400874,0.0019845648,0.699573,0.0019441617,0.00029801225,0.00044523485,0.00056737184,0.0015434287,0.009635534],"genre_scores_gemma":[0.88379514,0.00054857164,0.111256,0.00019951264,0.000059571397,0.00006864457,0.00037046795,0.0000629473,0.0036391257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984503,0.00031239184,0.00017751493,0.00023964686,0.0005418406,0.0002784054],"domain_scores_gemma":[0.9966397,0.00040606776,0.0002215403,0.0019467047,0.000638661,0.00014714817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022404098,0.0002811044,0.0005305252,0.0005791851,0.0014790454,0.0021099239,0.0010188421,0.0006955403,0.0006942843],"category_scores_gemma":[0.0025410894,0.00025200885,0.0005257384,0.0007690155,0.000664879,0.0028026295,0.0028820042,0.0007644468,0.0003932401],"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":[0.0023265216,0.00068884774,0.02585719,0.0006840166,0.00034442288,0.0043012197,0.0035895647,0.11735016,0.15187918,0.25804317,0.027945172,0.40699062],"study_design_scores_gemma":[0.00022717258,0.0004646661,0.007866787,0.0002036794,0.00012384946,0.0031237756,0.0020460894,0.6469263,0.1954196,0.07193342,0.07150059,0.00016399818],"about_ca_topic_score_codex":0.0017278962,"about_ca_topic_score_gemma":0.0020006192,"teacher_disagreement_score":0.0022404098,"about_ca_system_score_codex":0.0006803491,"about_ca_system_score_gemma":0.0018894764,"threshold_uncertainty_score":0.011848509},"labels":[],"label_agreement":null},{"id":"W1995571756","doi":"10.1002/cpe.3484","title":"SDIVIP<sup>2</sup>: shared data integrity verification with identity privacy preserving in mobile clouds","year":2015,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Correctness; Cloud computing; Data integrity; Mobile device; Mobile computing; Computer security; Mobile cloud computing; Cloud storage; Computer network; Operating system","score_opus":0.10292230525331082,"score_gpt":0.3762520229677956,"score_spread":0.2733297177144848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995571756","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":[0.068892926,0.0008575011,0.9202818,0.0014926858,0.00031401002,0.00034020026,0.0001898405,0.001365442,0.006265675],"genre_scores_gemma":[0.910194,0.00034782354,0.08598677,0.00023179328,0.00011145165,0.00013216153,0.0002422736,0.0000777045,0.0026760378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99474937,0.0014284282,0.0005219106,0.00050525286,0.0020073063,0.0007877482],"domain_scores_gemma":[0.992879,0.0015380061,0.00092234527,0.002824777,0.0014679248,0.00036796773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046647796,0.0004004696,0.00080221205,0.0007008463,0.0015521758,0.0029958526,0.0021750366,0.0011507488,0.0016945654],"category_scores_gemma":[0.0055322647,0.00043632564,0.0007146386,0.0012005046,0.0022777878,0.0037564803,0.004787175,0.0020681766,0.00062637386],"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":[0.0024419487,0.0003341849,0.007349976,0.00072222913,0.0002856473,0.0024684328,0.0016229737,0.10890452,0.07203853,0.40216115,0.02148808,0.3801823],"study_design_scores_gemma":[0.00014746793,0.00037449854,0.0010245679,0.0001161534,0.000100160956,0.0012516556,0.0005648747,0.7569616,0.11898983,0.08126053,0.039091475,0.00011721298],"about_ca_topic_score_codex":0.0024429823,"about_ca_topic_score_gemma":0.0011463795,"teacher_disagreement_score":0.0046647796,"about_ca_system_score_codex":0.0016664665,"about_ca_system_score_gemma":0.0032784191,"threshold_uncertainty_score":0.024670005},"labels":[],"label_agreement":null},{"id":"W2001672163","doi":"10.5539/cis.v3n4p175","title":"Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Cloud computing security; Correctness; Sherwood Applied Business Security Architecture; Architecture; Enterprise information security architecture; Computer security; Distributed System Security Architecture; Computer security model; Distributed computing; Security information and event management; Operating system","score_opus":0.01800682610961279,"score_gpt":0.2777824738761886,"score_spread":0.2597756477665758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001672163","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020629663,0.46069807,0.41045204,0.007169813,0.0006402673,0.0003307533,0.0003634212,0.00056237174,0.09915352],"genre_scores_gemma":[0.38373464,0.4209328,0.18250237,0.0012983427,0.0007406961,0.0004948557,0.0007045308,0.000077705714,0.009514084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990638,0.00026968468,0.00012175259,0.00013594069,0.00034522745,0.00006359234],"domain_scores_gemma":[0.9992601,0.00034545097,0.00009318622,0.000039081082,0.00024216951,0.000020059093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010545715,0.00064630987,0.00077830884,0.003731116,0.0009168813,0.0033429721,0.0011923658,0.0016957758,0.0015405912],"category_scores_gemma":[0.0015399042,0.00034715878,0.0006838467,0.0041122255,0.0011169821,0.004239753,0.0006360906,0.0006315076,0.0004351373],"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":[0.00007520376,0.000122050165,0.0018265541,0.00931138,0.00017866862,0.0011699358,0.0016160057,0.021592718,0.0031731685,0.61047304,0.011215096,0.3392462],"study_design_scores_gemma":[0.00004983539,0.00015214141,0.003066316,0.006691226,0.00035018328,0.0028442182,0.0035351696,0.09241925,0.004243527,0.35676646,0.52972764,0.00015406667],"about_ca_topic_score_codex":0.0048840055,"about_ca_topic_score_gemma":0.0029063814,"teacher_disagreement_score":0.0048840055,"about_ca_system_score_codex":0.0021527214,"about_ca_system_score_gemma":0.0031280243,"threshold_uncertainty_score":0.015619218},"labels":[],"label_agreement":null},{"id":"W2004408054","doi":"10.3166/isi.12.3.9-35","title":"Synchroniseur à base de transformées opérationnelles pour environnements P2P","year":2007,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Base (topology); Mathematics","score_opus":0.022717693754403603,"score_gpt":0.24948812236527973,"score_spread":0.22677042861087612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004408054","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":[0.07406946,0.00065316353,0.84661835,0.00038304075,0.00040660467,0.00023838427,0.0006328731,0.06479352,0.012204605],"genre_scores_gemma":[0.6454642,0.00075129775,0.32598266,0.00031050516,0.0003357846,0.00044556308,0.0018981198,0.0038603966,0.020951549],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969797,0.0006730674,0.00021130305,0.0006631933,0.0012416934,0.00023097672],"domain_scores_gemma":[0.9965371,0.0017107509,0.000118409196,0.0009224308,0.0005692624,0.00014206962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024981603,0.002078014,0.0015208849,0.0016835909,0.0011651164,0.004994186,0.0014596483,0.001391205,0.01233739],"category_scores_gemma":[0.006608784,0.0009574513,0.0013970714,0.001111951,0.0015958012,0.003794589,0.0017094795,0.0023746553,0.0032303652],"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":[0.0042845383,0.0008933266,0.005588025,0.0009350722,0.00043319227,0.0017821088,0.0019370972,0.2126335,0.09713803,0.061878063,0.02094928,0.5915478],"study_design_scores_gemma":[0.00063835346,0.0003577536,0.0018417563,0.000093601295,0.0001526814,0.00039121235,0.00029655732,0.837006,0.10466503,0.015686318,0.03874152,0.00012922326],"about_ca_topic_score_codex":0.013703882,"about_ca_topic_score_gemma":0.0079463115,"teacher_disagreement_score":0.013703882,"about_ca_system_score_codex":0.0011847392,"about_ca_system_score_gemma":0.0014944673,"threshold_uncertainty_score":0.04127264},"labels":[],"label_agreement":null},{"id":"W2012654131","doi":"10.1016/j.procs.2013.09.005","title":"Personalized Security Approaches in E-banking Employing Flask Architecture over Cloud Environment","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Cloud computing; Cloud computing security; Computer security; Security controls; Computer security model; Enterprise information security architecture; Architecture; Access control; Distributed System Security Architecture; Payment; Security service; Security information and event management; Control (management); Information security; World Wide Web; Operating system","score_opus":0.02557702156643895,"score_gpt":0.2274073820448885,"score_spread":0.20183036047844954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012654131","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":[0.13195199,0.0010570529,0.8399226,0.0016117885,0.00010828814,0.00036181416,0.000089008994,0.003895272,0.021002103],"genre_scores_gemma":[0.85487515,0.0007864073,0.1324886,0.00031020335,0.000039305778,0.00009471045,0.00015331413,0.00014008074,0.011112153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998845,0.00026245226,0.00010222801,0.0002006839,0.00031293381,0.0002766945],"domain_scores_gemma":[0.9993931,0.00009349168,0.000050921375,0.0002130142,0.00014116836,0.00010828028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001206653,0.00035070215,0.0004257476,0.0005939065,0.0012163242,0.0030845422,0.0012943989,0.0011836321,0.002576501],"category_scores_gemma":[0.0010834696,0.0003243604,0.0006372268,0.0004886546,0.001036294,0.00539568,0.0030977908,0.0014226597,0.000940153],"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":[0.0008203756,0.00045616206,0.0065342267,0.00026745675,0.0001310192,0.0012141935,0.002062583,0.080517896,0.06065278,0.68408895,0.0075496975,0.15570465],"study_design_scores_gemma":[0.000080209036,0.00030117496,0.0023152858,0.00012413294,0.00017657004,0.0008848024,0.0012256006,0.7119437,0.052328758,0.16059051,0.06984421,0.00018509483],"about_ca_topic_score_codex":0.0038426497,"about_ca_topic_score_gemma":0.003241126,"teacher_disagreement_score":0.0038426497,"about_ca_system_score_codex":0.0014201731,"about_ca_system_score_gemma":0.001623759,"threshold_uncertainty_score":0.010304093},"labels":[],"label_agreement":null},{"id":"W2013119597","doi":"10.1109/mmsp.2011.6093813","title":"Optimal resource allocation for multimedia cloud based on queuing model","year":2011,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Computer science; Provisioning; Resource allocation; Queueing theory; Quality of service; Multimedia; Resource (disambiguation); Service (business); Distributed computing; Resource management (computing); Response time; Computer network; Operating system","score_opus":0.053760871372894356,"score_gpt":0.26539400686098097,"score_spread":0.2116331354880866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013119597","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":[0.050736345,0.00070653384,0.9420768,0.00080962497,0.00010235609,0.00014103603,0.00013664273,0.00028996426,0.00500072],"genre_scores_gemma":[0.9166101,0.0007867785,0.07687669,0.00020802155,0.0000859678,0.00017678636,0.00011984846,0.00008250925,0.005053283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989478,0.00031836415,0.00004103968,0.00016083644,0.0002294493,0.00030245775],"domain_scores_gemma":[0.999405,0.00031331775,0.00006616961,0.00002640737,0.00012381992,0.000065335495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246648,0.00066441344,0.0012816943,0.00054968166,0.00073552626,0.0014249539,0.0015206141,0.0008663512,0.002655011],"category_scores_gemma":[0.0015805019,0.0005018753,0.00055243523,0.0010183632,0.0006301936,0.0014449897,0.0006350714,0.0008166922,0.00024149536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000696461,0.000038482445,0.00025966004,0.00003554038,0.000016569855,0.000036063342,0.000019919584,0.9741805,0.0019437533,0.015674619,0.0009458794,0.0067794374],"study_design_scores_gemma":[0.000006766071,0.000008969171,0.000045338147,0.000001326976,0.000003146695,0.0000027154654,0.00000462558,0.99767596,0.00013109323,0.0020070772,0.00010996833,0.00000306481],"about_ca_topic_score_codex":0.015399068,"about_ca_topic_score_gemma":0.0131843705,"teacher_disagreement_score":0.015399068,"about_ca_system_score_codex":0.0038023551,"about_ca_system_score_gemma":0.0030112495,"threshold_uncertainty_score":0.030618846},"labels":[],"label_agreement":null},{"id":"W2021734718","doi":"10.1007/s11859-011-0769-0","title":"Improved verifiability scheme for data storage in cloud computing","year":2011,"lang":"en","type":"article","venue":"Wuhan University Journal of Natural Sciences","topic":"Cloud Data Security Solutions","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":"The Alberta Paraplegic Foundation","funders":"","keywords":"Computer science; Data integrity; Cloud computing; Correctness; Scheme (mathematics); Trusted Computing; Data center; Data redundancy; Cloud storage; Computer security; Redundancy (engineering); Database; Distributed computing; Computer network; Operating system; Algorithm","score_opus":0.06324549953143412,"score_gpt":0.2749046627104427,"score_spread":0.21165916317900862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021734718","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":[0.09652388,0.0012103937,0.8917275,0.0016178456,0.00039293146,0.00035550506,0.00036365632,0.001961064,0.0058472264],"genre_scores_gemma":[0.8919073,0.00037794566,0.10241992,0.0002570811,0.00017503744,0.00015241375,0.0002936342,0.00007641191,0.0043403357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99532217,0.0011051184,0.00041829734,0.00073303387,0.0017129194,0.0007084777],"domain_scores_gemma":[0.990265,0.0025357972,0.0009347699,0.004435569,0.001514403,0.00031439174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025436396,0.00050607946,0.0009979721,0.0010790033,0.0017046243,0.0017321365,0.0020651615,0.0015398059,0.0034789282],"category_scores_gemma":[0.007935907,0.0004193094,0.0007908986,0.0015649125,0.0015590613,0.0077285618,0.004133279,0.0021308518,0.00073877483],"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":[0.0040295166,0.00037569343,0.0042168787,0.0008796192,0.00021953745,0.0010924651,0.0017595507,0.04966408,0.17151992,0.42694315,0.011097251,0.32820234],"study_design_scores_gemma":[0.0008959676,0.0010670348,0.00206132,0.00015608704,0.0002689281,0.0017721399,0.0002979685,0.55467623,0.22355375,0.18208182,0.032802936,0.0003658894],"about_ca_topic_score_codex":0.0014218972,"about_ca_topic_score_gemma":0.0007106176,"teacher_disagreement_score":0.0034789282,"about_ca_system_score_codex":0.0018864423,"about_ca_system_score_gemma":0.002706798,"threshold_uncertainty_score":0.013687134},"labels":[],"label_agreement":null},{"id":"W2025042670","doi":"10.1109/ic2e.2013.10","title":"Middleware-Layer for Authenticating Mobile Consumers of Amazon S3 Data","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"University of Saskatchewan","funders":"","keywords":"Computer science; Cloud computing; Middleware (distributed applications); Authentication (law); Provisioning; Computer security; Scalability; Data access; Amazon rainforest; Mobile computing; Database; Computer network; World Wide Web; Operating system","score_opus":0.08078084480321773,"score_gpt":0.31503258381769683,"score_spread":0.2342517390144791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025042670","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":[0.08963614,0.0010387322,0.82952344,0.0013415383,0.0006873531,0.0014151912,0.0004496218,0.047494,0.028413985],"genre_scores_gemma":[0.77568614,0.00042569704,0.19879338,0.00048800168,0.00014872554,0.00037737872,0.00070375187,0.0013220264,0.022055011],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.998204,0.00021682035,0.00028384,0.00024398026,0.0007720325,0.0002793475],"domain_scores_gemma":[0.99812585,0.00022397854,0.00020049867,0.00081150717,0.0004018566,0.00023640429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109736,0.00064215896,0.0005621752,0.0006930296,0.0007971871,0.0024177718,0.0017473857,0.0011085385,0.0043341927],"category_scores_gemma":[0.004428433,0.0006452313,0.00074242725,0.00043042042,0.00058422127,0.0023051887,0.0034283947,0.001502086,0.0034416593],"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":[0.002711522,0.0006512324,0.021726575,0.0015469941,0.0004852248,0.004197903,0.0036713157,0.010918892,0.447827,0.17263085,0.04868296,0.28494954],"study_design_scores_gemma":[0.00031801878,0.0006584477,0.010363033,0.00022901905,0.0004111667,0.0035646707,0.000792228,0.24742015,0.33689895,0.025909062,0.37312856,0.0003065651],"about_ca_topic_score_codex":0.002654228,"about_ca_topic_score_gemma":0.0018676682,"teacher_disagreement_score":0.0043341927,"about_ca_system_score_codex":0.0009782307,"about_ca_system_score_gemma":0.0018693702,"threshold_uncertainty_score":0.014499307},"labels":[],"label_agreement":null},{"id":"W2030094967","doi":"10.1109/hpcc.2014.140","title":"Proof of Retrieval and Ownership Protocols for Images through SPIHT Compression","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Encoding (memory); Protocol (science); Data compression; Cloud computing; Set partitioning in hierarchical trees; Image compression; Compression (physics); Scheme (mathematics); Encryption; Theoretical computer science; Information retrieval; Data mining; Image (mathematics); Computer vision; Computer security; Artificial intelligence; Operating system; Image processing; Mathematics","score_opus":0.05052212852240769,"score_gpt":0.3285311916935958,"score_spread":0.2780090631711881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030094967","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":[0.02343364,0.0012013904,0.96619964,0.00078970846,0.00019045065,0.00032829717,0.00011337654,0.00071676954,0.0070268144],"genre_scores_gemma":[0.6942568,0.0020492882,0.2905563,0.00060528674,0.00047468586,0.00063970033,0.0003341546,0.00019615595,0.010887654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99559385,0.00083681225,0.00036031147,0.0004266792,0.0023129943,0.00046924848],"domain_scores_gemma":[0.9870467,0.0057756715,0.0012717388,0.0040864623,0.0016236309,0.00019580049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026116949,0.0005979831,0.00094365294,0.0011312347,0.0011103917,0.002317342,0.0015115624,0.0016934638,0.0036118394],"category_scores_gemma":[0.011864837,0.0005042989,0.0007013131,0.001119003,0.0031795746,0.010809736,0.004064144,0.0027922092,0.0010400396],"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":[0.0006865225,0.00017952529,0.00081758434,0.0008596751,0.00010455342,0.0010580816,0.001302145,0.019102667,0.08948011,0.65408784,0.006399859,0.22592151],"study_design_scores_gemma":[0.00025740566,0.00070381735,0.0007639074,0.00034438472,0.00015837187,0.0041583995,0.00061782094,0.28632328,0.33759257,0.31469548,0.054065693,0.00031900054],"about_ca_topic_score_codex":0.00033567284,"about_ca_topic_score_gemma":0.00020852471,"teacher_disagreement_score":0.0036118394,"about_ca_system_score_codex":0.00077906274,"about_ca_system_score_gemma":0.0012947818,"threshold_uncertainty_score":0.013812125},"labels":[],"label_agreement":null},{"id":"W2031708312","doi":"10.1109/tpds.2014.2308218","title":"Shared Authority Based Privacy-Preserving Authentication Protocol in Cloud Computing","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Cloud computing; Computer security; Access control; Authentication (law); Anonymity; Encryption; Data sharing; Information privacy; Cloud computing security; Internet privacy","score_opus":0.028446301739053395,"score_gpt":0.2812047719963714,"score_spread":0.252758470257318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031708312","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":[0.01313931,0.00050755584,0.9781396,0.0006572829,0.00020890568,0.0002797451,0.00006424235,0.00057451177,0.006428847],"genre_scores_gemma":[0.85641927,0.000971269,0.13374789,0.0003086873,0.00022062528,0.0006325522,0.00017057739,0.00008076247,0.0074483263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99370486,0.0018068993,0.0006358457,0.001159166,0.0019556703,0.0007375588],"domain_scores_gemma":[0.99629253,0.0010824861,0.00045731693,0.0011495061,0.00078318664,0.00023492686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028054763,0.000666018,0.00097577524,0.0010100275,0.0025695844,0.0026051407,0.0020447215,0.001781227,0.0019400342],"category_scores_gemma":[0.0055015255,0.00045508574,0.0012064627,0.0019439501,0.0031875249,0.006544527,0.004482191,0.0028543577,0.00071220676],"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":[0.0004616457,0.0001303006,0.000912717,0.0003394603,0.00008800888,0.0012911964,0.0012932982,0.050063606,0.022456918,0.8676467,0.0044452106,0.050870948],"study_design_scores_gemma":[0.00018116883,0.0002833329,0.00035106164,0.0001084455,0.00013741912,0.0014118872,0.00033038447,0.6145788,0.030365234,0.3166751,0.035395876,0.00018132993],"about_ca_topic_score_codex":0.0018329064,"about_ca_topic_score_gemma":0.00080622913,"teacher_disagreement_score":0.0028054763,"about_ca_system_score_codex":0.0015940722,"about_ca_system_score_gemma":0.0036970149,"threshold_uncertainty_score":0.014836907},"labels":[],"label_agreement":null},{"id":"W2032515484","doi":"10.1109/iccitechn.2014.7073122","title":"Hardware-based DLAS: Achieving geo-location guarantees for cloud data using TPM and Provable Data Possession","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cloud computing; Cloud storage; Server; Trusted Platform Module; Computer security; Computer network; Database; Cryptography; Trusted Computing; Operating system","score_opus":0.10306603735248691,"score_gpt":0.33422494099754124,"score_spread":0.23115890364505431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032515484","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":[0.067944646,0.0004726499,0.92049974,0.0016758876,0.00015600065,0.00025913236,0.00012028855,0.002657273,0.0062144655],"genre_scores_gemma":[0.93606824,0.00018369773,0.06082867,0.00027886167,0.00009396466,0.000107379194,0.00008227475,0.000077222634,0.0022796185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946067,0.0013645948,0.000427729,0.0005759781,0.0022443247,0.00078069646],"domain_scores_gemma":[0.9894112,0.002482516,0.0015049346,0.0049188426,0.0011956329,0.00048692946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002583036,0.0006245039,0.0007462921,0.00092417595,0.0012699801,0.0034870496,0.0022477254,0.0015170947,0.0024562494],"category_scores_gemma":[0.0105378935,0.00047807212,0.00075368065,0.0010188294,0.002959626,0.006323751,0.0072866455,0.0027163,0.0010571958],"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":[0.0016676525,0.00039749782,0.005023904,0.0006854755,0.00019737636,0.0012528818,0.0012357583,0.14251845,0.076899916,0.5581451,0.011213837,0.20076212],"study_design_scores_gemma":[0.00018922702,0.00045221497,0.00056711806,0.00006969643,0.000065640095,0.00066655193,0.00031223428,0.80885077,0.068094,0.104458086,0.01619087,0.00008357528],"about_ca_topic_score_codex":0.0011602632,"about_ca_topic_score_gemma":0.00078892265,"teacher_disagreement_score":0.0034870496,"about_ca_system_score_codex":0.0021457227,"about_ca_system_score_gemma":0.0021141404,"threshold_uncertainty_score":0.015568376},"labels":[],"label_agreement":null},{"id":"W2037386159","doi":"10.1109/tsc.2012.1","title":"THEMIS: A Mutually Verifiable Billing System for the Cloud Computing Environment","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Cloud computing; Computer science; Public key infrastructure; Computer security; Verifiable secret sharing; Service provider; Public-key cryptography; Overhead (engineering); Service-level agreement; Computer network; Service (business); Encryption; Operating system; Business","score_opus":0.022204524394068455,"score_gpt":0.23758013135209646,"score_spread":0.21537560695802802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037386159","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":[0.0853115,0.0011453299,0.77067345,0.0022671274,0.0009384932,0.0025833717,0.0017037527,0.092939764,0.042437203],"genre_scores_gemma":[0.7634136,0.00065325276,0.20657155,0.0006985851,0.00038723476,0.0008876657,0.0032235656,0.0022265639,0.021937978],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99667966,0.0006382664,0.0002475492,0.00026771097,0.0017061278,0.00046058508],"domain_scores_gemma":[0.9977806,0.00029936997,0.00042503688,0.0008323727,0.00034240432,0.0003201636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020554585,0.00076921086,0.0009276673,0.0010448423,0.0014551759,0.0028305373,0.0028179542,0.0009406175,0.006832175],"category_scores_gemma":[0.0044040103,0.0004653601,0.0006162717,0.0011155896,0.0010153822,0.0036388608,0.0037439438,0.002017003,0.0017654459],"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":[0.0038603724,0.0009924095,0.010354093,0.0007911216,0.00030227244,0.0023144877,0.001395146,0.03472295,0.07506863,0.21362619,0.16559643,0.49097583],"study_design_scores_gemma":[0.0005850082,0.00078033423,0.0062426142,0.00013734904,0.00015756082,0.0016462414,0.00029616692,0.6145296,0.08859129,0.027687019,0.25907636,0.00027049548],"about_ca_topic_score_codex":0.0019363665,"about_ca_topic_score_gemma":0.0011919803,"teacher_disagreement_score":0.006832175,"about_ca_system_score_codex":0.0015619016,"about_ca_system_score_gemma":0.0032125087,"threshold_uncertainty_score":0.022855937},"labels":[],"label_agreement":null},{"id":"W2044401963","doi":"10.1504/ijcat.2007.014059","title":"A collaborative approval process for accessing sensitive data","year":2007,"lang":"en","type":"article","venue":"International Journal of Computer Applications in Technology","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":4,"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 Ottawa","funders":"","keywords":"Computer science; Process (computing); Access control; Data warehouse; Service (business); Control (management); Architecture; Process management; Data science; Database; Computer security; Business","score_opus":0.027300193431301006,"score_gpt":0.37491982940916346,"score_spread":0.34761963597786244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044401963","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":[0.01164299,0.00012760337,0.9719839,0.0012038106,0.00019329062,0.0010508331,0.00008834934,0.002926863,0.010782335],"genre_scores_gemma":[0.20322841,0.00021068999,0.7767177,0.0004267614,0.00020872528,0.00092460087,0.0005293418,0.0004172512,0.017336464],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.94222105,0.02866644,0.004377781,0.005117358,0.017081374,0.002536021],"domain_scores_gemma":[0.92681026,0.029589513,0.004269947,0.022463934,0.012951868,0.0039143846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027405899,0.0010007775,0.0012095349,0.0027150696,0.005193015,0.008882342,0.0037576908,0.0048330803,0.009342548],"category_scores_gemma":[0.053679883,0.0009936042,0.0017463047,0.002703951,0.0033169142,0.009179935,0.010253237,0.0037586153,0.004692507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011129566,0.00092907314,0.0058255354,0.00056499115,0.00018479636,0.003291219,0.010439395,0.025701966,0.03232425,0.3220151,0.03633983,0.5612709],"study_design_scores_gemma":[0.00038584313,0.00090311543,0.0022107842,0.00039448604,0.00016620493,0.004023748,0.0033686252,0.24329898,0.04491536,0.1749351,0.52479374,0.00060407177],"about_ca_topic_score_codex":0.0022864204,"about_ca_topic_score_gemma":0.0015735892,"teacher_disagreement_score":0.027405899,"about_ca_system_score_codex":0.0014365653,"about_ca_system_score_gemma":0.0063067665,"threshold_uncertainty_score":0.14493799},"labels":[],"label_agreement":null},{"id":"W2050417752","doi":"10.1109/services.2013.34","title":"SaaS Authentication Middleware for Mobile Consumers of IaaS Cloud","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Cloud computing; Computer security; Computer network; Middleware (distributed applications); Authentication (law); Mobile computing; Operating system","score_opus":0.0199752855644827,"score_gpt":0.26071678899348516,"score_spread":0.24074150342900247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050417752","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06987495,0.0010491798,0.80774945,0.00155175,0.0008530528,0.00096580066,0.00034535312,0.07394128,0.04366913],"genre_scores_gemma":[0.77478707,0.0007036068,0.16401064,0.00067898893,0.00023266305,0.00042970627,0.0010474317,0.0027114006,0.05539856],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.998892,0.0001900273,0.00013746804,0.00015701141,0.00040959127,0.00021388463],"domain_scores_gemma":[0.9982705,0.00018342938,0.00016035044,0.0006709281,0.00047466566,0.00024011498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010455094,0.0007613559,0.00054266007,0.0006981585,0.0010753481,0.002849278,0.0017477559,0.0010140283,0.008703918],"category_scores_gemma":[0.0033204076,0.00066021935,0.0007004006,0.00046142394,0.00056817447,0.0024135294,0.0027532605,0.0019606992,0.0063916845],"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":[0.0029915764,0.0007027938,0.017599262,0.001139189,0.0003661465,0.00357294,0.0040193605,0.017987113,0.34489822,0.20831254,0.07771513,0.3206958],"study_design_scores_gemma":[0.00016221374,0.00029212344,0.0049121003,0.00021187906,0.00019615391,0.0016476768,0.00069984474,0.29452527,0.18416327,0.021820445,0.49120188,0.0001671571],"about_ca_topic_score_codex":0.0018966836,"about_ca_topic_score_gemma":0.0014876993,"teacher_disagreement_score":0.008703918,"about_ca_system_score_codex":0.0012803692,"about_ca_system_score_gemma":0.0016569392,"threshold_uncertainty_score":0.029117525},"labels":[],"label_agreement":null},{"id":"W2053318176","doi":"10.1145/2087522.2087531","title":"OAuth and ABE based authorization in semi-trusted cloud computing","year":2011,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":30,"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 Waterloo","funders":"","keywords":"Computer science; Computer security; Cloud computing; Encryption; Service provider; Access control; Trusted Computing; Cryptography; ElGamal encryption; Cloud computing security; Public-key cryptography; Service (business); Operating system; Business","score_opus":0.03626774013884623,"score_gpt":0.24872135910674598,"score_spread":0.21245361896789974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053318176","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":[0.053359155,0.0009536822,0.9152998,0.0013344656,0.0004483514,0.00041851372,0.00014668771,0.0012802198,0.026759194],"genre_scores_gemma":[0.8513506,0.00046979217,0.13152505,0.00023440814,0.00021583778,0.00026905668,0.00009292207,0.000121148274,0.015721116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925452,0.0026124541,0.00056960655,0.00067289965,0.0026536298,0.00094628904],"domain_scores_gemma":[0.99526167,0.0011071442,0.0005894219,0.0017332368,0.0008687753,0.0004397005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037657805,0.00050628354,0.0009017048,0.0008867143,0.0026667845,0.0032652244,0.0014684191,0.0013695922,0.0030231345],"category_scores_gemma":[0.005703738,0.0003904719,0.0009308117,0.0009986792,0.004967496,0.007654297,0.003527117,0.0024765097,0.001160229],"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":[0.0004303104,0.00008202286,0.0005456504,0.00011458688,0.00003357097,0.00045235959,0.0006183055,0.03111329,0.0074900105,0.9257547,0.0022467244,0.031118393],"study_design_scores_gemma":[0.00016673734,0.00022111484,0.00042033175,0.00008093885,0.00004521583,0.0005322483,0.0002456083,0.41206825,0.017829137,0.5305611,0.03768304,0.00014633535],"about_ca_topic_score_codex":0.0028669594,"about_ca_topic_score_gemma":0.001845641,"teacher_disagreement_score":0.0037657805,"about_ca_system_score_codex":0.0022423207,"about_ca_system_score_gemma":0.0037340047,"threshold_uncertainty_score":0.01991558},"labels":[],"label_agreement":null},{"id":"W2061194392","doi":"10.1109/pst.2012.6297923","title":"A secure data deduplication framework for cloud environments","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data deduplication; Computer science; Cloud computing; Encryption; Hash function; Cloud storage; Database; Service provider; Client-side encryption; Merkle tree; Data security; Cryptographic hash function; Computer network; Computer security; On-the-fly encryption; Service (business); Operating system","score_opus":0.062330029301127694,"score_gpt":0.3183911000696773,"score_spread":0.2560610707685496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061194392","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":[0.005870878,0.0005202755,0.9880675,0.0003439589,0.00008099779,0.0004284252,0.00017056681,0.0028279948,0.0016894089],"genre_scores_gemma":[0.20706044,0.0011283205,0.7823557,0.00024465835,0.00014516058,0.00060322805,0.00076780794,0.00041743382,0.007277187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985474,0.00022378354,0.00015844736,0.00014381218,0.00076870923,0.00015780795],"domain_scores_gemma":[0.9989095,0.00018504179,0.00009234666,0.00044888354,0.0002455207,0.00011862126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029749465,0.0006644812,0.00064280955,0.00094049744,0.0016015361,0.002519143,0.002304337,0.0011598018,0.0019496749],"category_scores_gemma":[0.0023104576,0.00059099623,0.00110321,0.0006950433,0.0011187408,0.0028649415,0.0029009806,0.0018400607,0.00082015205],"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":[0.0008048752,0.00046310964,0.0019550868,0.00062372227,0.00019679418,0.0020983804,0.001272871,0.0926717,0.044798117,0.52143216,0.033292834,0.30039033],"study_design_scores_gemma":[0.00035664032,0.00043596787,0.0008961653,0.00016114453,0.0001313099,0.0023954487,0.00022423819,0.6748139,0.044078182,0.109879166,0.16636655,0.00026138636],"about_ca_topic_score_codex":0.002542552,"about_ca_topic_score_gemma":0.0034825485,"teacher_disagreement_score":0.0029749465,"about_ca_system_score_codex":0.0010079046,"about_ca_system_score_gemma":0.0026806174,"threshold_uncertainty_score":0.015733182},"labels":[],"label_agreement":null},{"id":"W2064460676","doi":"10.5171/2014.901075","title":"Rationalizing the Cloud Computing Concept: An Analogy with the Car","year":2014,"lang":"en","type":"article","venue":"Journal of Cloud Computing","topic":"Cloud Data Security Solutions","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":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Cloud computing; NIST; Computer science; Analogy; Work (physics); Data science; Computer security; Object (grammar); Artificial intelligence; Engineering","score_opus":0.019402488697886675,"score_gpt":0.26990827588747573,"score_spread":0.25050578718958905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064460676","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":[0.020640507,0.0095396,0.59070385,0.08125681,0.0014553611,0.000333533,0.00018202071,0.0002300446,0.29565832],"genre_scores_gemma":[0.7061182,0.007012531,0.24806587,0.011518387,0.0015013949,0.00090118963,0.00024521895,0.00047603803,0.024161192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9907555,0.005565444,0.00033106943,0.0007821608,0.0019061655,0.0006597478],"domain_scores_gemma":[0.9959197,0.0019415137,0.00024005219,0.0006322488,0.0009459182,0.00032053894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008553655,0.0012077251,0.00081437477,0.0052366876,0.0058392272,0.012737372,0.0030932245,0.0040096478,0.0037384185],"category_scores_gemma":[0.0054438636,0.000626759,0.0018650086,0.0049083326,0.044383384,0.0195977,0.004506343,0.0070098634,0.0009648394],"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":[0.000002341541,0.00000430833,0.000033356533,0.000011200639,0.0000016480737,0.000017211576,0.0005814627,0.0001782756,0.000035143203,0.9980311,0.00044133735,0.00066261995],"study_design_scores_gemma":[0.000012513307,0.000016585282,0.00013085156,0.00011765747,0.000008317198,0.00011920093,0.0018049906,0.0028062728,0.00026525065,0.8929799,0.10171781,0.000020509271],"about_ca_topic_score_codex":0.018733269,"about_ca_topic_score_gemma":0.0087194545,"teacher_disagreement_score":0.018733269,"about_ca_system_score_codex":0.011465841,"about_ca_system_score_gemma":0.007095505,"threshold_uncertainty_score":0.08319092},"labels":[],"label_agreement":null},{"id":"W2071803996","doi":"10.1515/jmc-2013-0034","title":"Is extracting data the same as possessing data?","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Cryptology","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorics; Discrete mathematics; Computer science","score_opus":0.12123808306032284,"score_gpt":0.3780973235038994,"score_spread":0.25685924044357655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071803996","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":[0.054256074,0.007627336,0.76140374,0.07867246,0.005421393,0.00064231886,0.0025013878,0.0049871914,0.08448805],"genre_scores_gemma":[0.67582613,0.009153689,0.2252542,0.018674396,0.0063786935,0.0007372985,0.0066843764,0.0024053408,0.05488586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96791035,0.01133448,0.0032313403,0.0057645123,0.009198067,0.0025612959],"domain_scores_gemma":[0.83888704,0.05147137,0.0075341472,0.084510766,0.0148720015,0.0027246412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022134108,0.0010358894,0.0020649305,0.00301277,0.0045713424,0.01359212,0.0042724945,0.0062408773,0.01673775],"category_scores_gemma":[0.090155944,0.00114277,0.003087318,0.0048672855,0.014383268,0.05800067,0.0075301775,0.0067576584,0.0090175355],"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":[0.0006593256,0.00022534314,0.006410543,0.0009804633,0.00018977931,0.00066865486,0.0020578124,0.0019440464,0.0042253216,0.82588696,0.035117082,0.12163461],"study_design_scores_gemma":[0.000061377265,0.00011769806,0.0012382497,0.00045298107,0.000193033,0.0017674548,0.0012372764,0.007242539,0.012533686,0.8902986,0.08473167,0.00012548863],"about_ca_topic_score_codex":0.001531396,"about_ca_topic_score_gemma":0.00086011714,"teacher_disagreement_score":0.022134108,"about_ca_system_score_codex":0.002916116,"about_ca_system_score_gemma":0.0045236945,"threshold_uncertainty_score":0.11705774},"labels":[],"label_agreement":null},{"id":"W2073140875","doi":"10.1109/cloudcom.2014.115","title":"Key Challenges and Opportunities in Cloud Computing and Implications on Service Requirements: Evidence from a Systematic Literature Review","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; York University","funders":"","keywords":"Cloud computing; Computer science; Scalability; Key (lock); Quality of service; Ranking (information retrieval); Cloud computing security; Service (business); Computer security; Process management; Database; Computer network; Business; Information retrieval","score_opus":0.13135078401706526,"score_gpt":0.32302531409392005,"score_spread":0.19167453007685478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073140875","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010284593,0.9785266,0.0019303329,0.0041801077,0.00022814255,0.0008762011,0.0017304381,0.000016375086,0.0022272856],"genre_scores_gemma":[0.095971115,0.8930882,0.006524171,0.0017853451,0.000107181906,0.001422591,0.0009467606,0.000014986929,0.0001396663],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9506174,0.015669247,0.021508882,0.0022194553,0.009003933,0.0009810564],"domain_scores_gemma":[0.6605162,0.28420746,0.02847735,0.0031111615,0.022297235,0.0013905538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047347534,0.00121577,0.004038298,0.023978857,0.0011851935,0.0059324163,0.00168979,0.0021277769,0.002468631],"category_scores_gemma":[0.22773683,0.0012123678,0.005745183,0.03148558,0.0019003493,0.0069317548,0.0029998315,0.0017709353,0.0003593075],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021654986,0.000036415877,0.009015794,0.80379784,0.0047207563,0.00039226984,0.0028696337,0.000585487,0.0003694431,0.002874978,0.003448663,0.17167221],"study_design_scores_gemma":[0.00012008465,0.00017841833,0.012599084,0.93089753,0.015524601,0.00075582566,0.0072175404,0.0003052158,0.00039551707,0.0028926989,0.02903199,0.000081526094],"about_ca_topic_score_codex":0.013658185,"about_ca_topic_score_gemma":0.034831103,"teacher_disagreement_score":0.047347534,"about_ca_system_score_codex":0.0067615607,"about_ca_system_score_gemma":0.035845727,"threshold_uncertainty_score":0.25040066},"labels":[],"label_agreement":null},{"id":"W2074457927","doi":"10.1109/hpcc.and.euc.2013.223","title":"On Dynamic &amp;amp;amp; Subjective Trust for Privacy Policy Enforcement in Cloud Computing","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Western University","funders":"","keywords":"Cloud computing; Computer science; Enforcement; Service provider; Computer security; Computational trust; Service (business); Trusted Computing; Internet privacy; Business; Reputation","score_opus":0.0292258529258769,"score_gpt":0.31314139574166483,"score_spread":0.2839155428157879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074457927","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":[0.016278528,0.00025543105,0.9770448,0.001342296,0.00005201858,0.000121001496,0.00003844369,0.00025117636,0.004616311],"genre_scores_gemma":[0.6808428,0.0005227962,0.31500012,0.00032147655,0.000074417745,0.00016781752,0.000083527724,0.00014007888,0.0028469483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9900946,0.0046038795,0.0007985444,0.0009911397,0.002699646,0.00081212557],"domain_scores_gemma":[0.9852669,0.0065956563,0.0012470277,0.004455139,0.001802669,0.0006326587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007386602,0.00055694795,0.00090084743,0.0009675255,0.0020744444,0.00625233,0.0017155274,0.0016478121,0.001790207],"category_scores_gemma":[0.02594758,0.00073012925,0.0009838392,0.0013740328,0.0048613115,0.010746401,0.0039580287,0.0034055535,0.0004999757],"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":[0.00020406423,0.0001053602,0.0021182767,0.00013134541,0.00005005872,0.00027627297,0.0010545345,0.18152256,0.0046578185,0.7555219,0.002326403,0.05203142],"study_design_scores_gemma":[0.000022370219,0.00006967196,0.00035459021,0.00005681023,0.00002469446,0.00012265265,0.00017913994,0.7585973,0.0035383478,0.2309659,0.0060168714,0.0000516369],"about_ca_topic_score_codex":0.007553412,"about_ca_topic_score_gemma":0.006044622,"teacher_disagreement_score":0.007553412,"about_ca_system_score_codex":0.0035996418,"about_ca_system_score_gemma":0.0027654686,"threshold_uncertainty_score":0.039064527},"labels":[],"label_agreement":null},{"id":"W2075828620","doi":"10.17722/ijrbt.v4i2.272","title":"Cloud Computing Data Security for the Masses","year":2014,"lang":"en","type":"article","venue":"International Journal of Research in Business and Technology","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cloud computing security; Data security; Operating system; Encryption","score_opus":0.09647275539498762,"score_gpt":0.4130586488165688,"score_spread":0.31658589342158117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075828620","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023065519,0.06719392,0.12615733,0.23174764,0.008171523,0.0005925345,0.0017543671,0.003089196,0.538228],"genre_scores_gemma":[0.55040544,0.08322015,0.09171602,0.030060528,0.008522593,0.00046029178,0.0033021898,0.0011470611,0.2311657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964224,0.0006035787,0.00019289584,0.0004242343,0.0018450478,0.0005118451],"domain_scores_gemma":[0.99376595,0.00096603204,0.0004665771,0.0020952506,0.0020022986,0.0007038892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002651986,0.0004780994,0.00058761216,0.0013163747,0.0031571607,0.006836755,0.0011008463,0.0019200186,0.017093094],"category_scores_gemma":[0.008870827,0.00024878193,0.0004932099,0.0021593897,0.0020528105,0.0071377927,0.0040011727,0.0036855582,0.009424584],"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":[0.000097305005,0.000045587065,0.0013765958,0.000294684,0.000032072003,0.0002044396,0.000540564,0.0010794617,0.003073646,0.47672123,0.24848862,0.26804587],"study_design_scores_gemma":[0.000012915692,0.000030495661,0.0008823005,0.0005179387,0.0000120314835,0.00036908285,0.0003341005,0.0035709508,0.0016921107,0.110635266,0.8819216,0.000021286274],"about_ca_topic_score_codex":0.0051706936,"about_ca_topic_score_gemma":0.0034504218,"teacher_disagreement_score":0.017093094,"about_ca_system_score_codex":0.0035917812,"about_ca_system_score_gemma":0.008184576,"threshold_uncertainty_score":0.057182074},"labels":[],"label_agreement":null},{"id":"W2077573477","doi":"10.1109/tpds.2012.337","title":"Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing Storage Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":106,"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 Waterloo","funders":"","keywords":"Computer science; Cloud computing; Outsourcing; Server; Cloud storage; Block (permutation group theory); File server; Service provider; Scheme (mathematics); Computer network; Computer security; Database; Distributed computing; Service (business); Operating system","score_opus":0.04211926559478843,"score_gpt":0.2794365580260815,"score_spread":0.2373172924312931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077573477","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":[0.09446979,0.0010571223,0.8898261,0.0020408733,0.0001541666,0.00033375283,0.00013620175,0.00090014667,0.011081786],"genre_scores_gemma":[0.93699974,0.00030488477,0.060174238,0.000100117235,0.000078907935,0.00011465652,0.0000628965,0.000052242078,0.0021123888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99408937,0.0016382876,0.0005232702,0.0004902698,0.0023149685,0.00094378996],"domain_scores_gemma":[0.98962796,0.002914299,0.0011214454,0.004237242,0.0015024105,0.00059665827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035097636,0.0004913679,0.000926113,0.0006410889,0.0025851242,0.0035770906,0.002142821,0.0013530079,0.0023014916],"category_scores_gemma":[0.010999178,0.00057555427,0.0006528694,0.0012501767,0.0025949664,0.009234997,0.008309092,0.002075173,0.00062996603],"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":[0.001375898,0.00028805697,0.003942502,0.0005256023,0.00014882028,0.0011515771,0.002223295,0.15248805,0.042695545,0.64223635,0.009037121,0.14388728],"study_design_scores_gemma":[0.00015223271,0.00020637845,0.00073090725,0.000058026642,0.00007175536,0.0006837448,0.00039949056,0.7967336,0.024145523,0.15645638,0.020243345,0.00011859978],"about_ca_topic_score_codex":0.0026806516,"about_ca_topic_score_gemma":0.0027098171,"teacher_disagreement_score":0.0035770906,"about_ca_system_score_codex":0.002734426,"about_ca_system_score_gemma":0.0033985432,"threshold_uncertainty_score":0.019839704},"labels":[],"label_agreement":null},{"id":"W2077806324","doi":"10.1109/nbis.2012.142","title":"Multitenancy - Security Risks and Countermeasures","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cloud computing security; Software; Risk analysis (engineering); Business; Operating system","score_opus":0.052719471222399526,"score_gpt":0.29843030931464903,"score_spread":0.2457108380922495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077806324","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":[0.6223422,0.026296621,0.19001132,0.04308614,0.0011248667,0.0007908292,0.00020895828,0.0010819868,0.11505707],"genre_scores_gemma":[0.9810316,0.001734634,0.0124457525,0.0011372742,0.00010463132,0.0000767229,0.00003812088,0.000031033047,0.0034001067],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99364823,0.0015049704,0.00033647713,0.00046293528,0.003245253,0.00080205355],"domain_scores_gemma":[0.98195696,0.0052719447,0.005501999,0.003330496,0.003023462,0.00091516523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004548566,0.00092329003,0.00046659427,0.0014276067,0.0016056922,0.0033198805,0.0015338515,0.0025769717,0.001948968],"category_scores_gemma":[0.011693213,0.0003628783,0.00071105076,0.000940921,0.0016228596,0.0046322895,0.0036915955,0.0032223358,0.00036422306],"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":[0.00088759064,0.0009421899,0.08881857,0.0014019577,0.0004742384,0.006025799,0.0051800436,0.040306937,0.0602781,0.3178267,0.013917416,0.46394047],"study_design_scores_gemma":[0.00014770553,0.0024304825,0.11196931,0.0039657773,0.00056508847,0.018432336,0.01257358,0.14765091,0.09152972,0.4179989,0.192223,0.0005131963],"about_ca_topic_score_codex":0.0013616463,"about_ca_topic_score_gemma":0.0010793513,"teacher_disagreement_score":0.004548566,"about_ca_system_score_codex":0.0014042832,"about_ca_system_score_gemma":0.0019489848,"threshold_uncertainty_score":0.024055421},"labels":[],"label_agreement":null},{"id":"W2083257807","doi":"10.1109/cloud.2012.46","title":"Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":151,"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; Audit; Cloud computing; Computer security; Exploit; Information privacy; Identity (music); Data sharing; Data integrity; Internet privacy; Business; Accounting; Operating system","score_opus":0.1540783368053455,"score_gpt":0.335307511632798,"score_spread":0.1812291748274525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083257807","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":[0.07242616,0.0008426855,0.90614915,0.0015506787,0.00033064003,0.0007526893,0.000446814,0.009438602,0.0080625275],"genre_scores_gemma":[0.8415168,0.00032017543,0.15235232,0.0003590236,0.00011937003,0.00021563131,0.0002827131,0.00028314156,0.004550795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9871516,0.0045777005,0.00094044703,0.0013942284,0.00388772,0.0020482684],"domain_scores_gemma":[0.97098404,0.0045506777,0.0030962732,0.018827869,0.0016826312,0.00085836364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008402149,0.00053271727,0.0013684402,0.0011793582,0.002239669,0.004092487,0.0031348164,0.0013521565,0.0029120247],"category_scores_gemma":[0.019255571,0.00058303337,0.0011043409,0.0017279012,0.0023426744,0.009147178,0.008020362,0.0025031609,0.00096345606],"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":[0.0053724996,0.0012879029,0.014467878,0.0010698853,0.0005258369,0.0018470171,0.0020025324,0.051718727,0.048084583,0.2923498,0.02020622,0.56106716],"study_design_scores_gemma":[0.0007392867,0.00091896194,0.0034716104,0.00026555575,0.0002849833,0.0024168396,0.00088793034,0.60668564,0.12332635,0.21478704,0.045923315,0.00029258183],"about_ca_topic_score_codex":0.0014440406,"about_ca_topic_score_gemma":0.0010422529,"teacher_disagreement_score":0.008402149,"about_ca_system_score_codex":0.0013640878,"about_ca_system_score_gemma":0.005257772,"threshold_uncertainty_score":0.044435382},"labels":[],"label_agreement":null},{"id":"W2089590478","doi":"10.1057/jittc.2015.4","title":"Sync&amp;Share North Rhine-Westphalia: A Case on a University-based Cloud Computing Service Provider","year":2015,"lang":"en","type":"article","venue":"Journal of Information Technology Teaching Cases","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":"Ivey Foundation","funders":"Westfälische Wilhelms-Universität Münster; Deutsche Forschungsgemeinschaft; University of Oxford","keywords":"Cloud computing; sync; Context (archaeology); Computer science; Service provider; Service (business); German; Knowledge management; World Wide Web; Business; Marketing; Telecommunications","score_opus":0.030719950426524773,"score_gpt":0.2686615331751476,"score_spread":0.23794158274862284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089590478","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":[0.89977,0.0006888607,0.0061847474,0.0321816,0.00015511885,0.00019155204,0.00006539188,0.000049675986,0.060713127],"genre_scores_gemma":[0.9791124,0.00065130665,0.0020563686,0.0011036827,0.000025955916,0.000041593696,0.000018661536,0.000029263956,0.016960822],"study_design_codex":"case_report","study_design_gemma":"qualitative","domain_scores_codex":[0.99810046,0.00087303197,0.000053866275,0.00010789577,0.000279085,0.0005855921],"domain_scores_gemma":[0.9973175,0.00095874304,0.00023504523,0.00007629986,0.00015169625,0.0012606749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013093256,0.00047433088,0.00037004284,0.00066892925,0.009442255,0.003359526,0.0010604595,0.0047349846,0.005628103],"category_scores_gemma":[0.0036334794,0.0004564625,0.00043156097,0.0010438046,0.004120995,0.0031172466,0.0025351124,0.003308741,0.000875446],"study_design_candidate":"qualitative","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":[0.00031503872,0.0013537152,0.01815326,0.00031161276,0.000038853686,0.4615377,0.29618323,0.00552023,0.005225833,0.1514564,0.02812376,0.03178042],"study_design_scores_gemma":[0.00008862294,0.00045819028,0.012928455,0.00078617956,0.000052310326,0.13230379,0.62256354,0.014177517,0.0058974945,0.014061081,0.19652066,0.00016211515],"about_ca_topic_score_codex":0.039503925,"about_ca_topic_score_gemma":0.06234273,"teacher_disagreement_score":0.039503925,"about_ca_system_score_codex":0.0068773297,"about_ca_system_score_gemma":0.0053120567,"threshold_uncertainty_score":0.078548014},"labels":[],"label_agreement":null},{"id":"W2090125559","doi":"10.1145/2484402.2484410","title":"RAFR","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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 Calgary","funders":"","keywords":"Redundancy (engineering); Computer science; Cloud computing; Erasure code; Data redundancy; Cloud storage; Database; Operating system; Decoding methods; Algorithm","score_opus":0.015218129218030353,"score_gpt":0.23064956086477262,"score_spread":0.21543143164674228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090125559","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103746034,0.0060003703,0.57173824,0.0064040334,0.0015970293,0.0009097372,0.003811277,0.020703208,0.28509012],"genre_scores_gemma":[0.80204296,0.0017987947,0.13198268,0.001467423,0.00066309754,0.0002866669,0.0036995404,0.0009904242,0.057068497],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710804,0.0004211189,0.00012307109,0.000514684,0.001415759,0.00041737614],"domain_scores_gemma":[0.9932284,0.0011452992,0.0005512209,0.0026413754,0.0021688433,0.0002648361],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016185652,0.00068818557,0.0006309713,0.0011214131,0.0012326051,0.0016880922,0.0017548316,0.0010530163,0.02709015],"category_scores_gemma":[0.007670896,0.00023429551,0.00057463854,0.0008288216,0.00079060846,0.003202488,0.0025818187,0.0014442537,0.013561882],"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":[0.0009745122,0.00025222395,0.0055138553,0.00071149913,0.00008357688,0.0008876344,0.00026928773,0.028889406,0.036317676,0.21956572,0.10908933,0.5974453],"study_design_scores_gemma":[0.00017992205,0.00094935717,0.0054016626,0.00027348057,0.00009231031,0.005527714,0.0004899467,0.27573982,0.08166249,0.146948,0.48251855,0.0002168526],"about_ca_topic_score_codex":0.001299886,"about_ca_topic_score_gemma":0.001427986,"teacher_disagreement_score":0.97290987,"about_ca_system_score_codex":0.0011920558,"about_ca_system_score_gemma":0.0014134329,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2091642697","doi":"10.1109/nbis.2013.23","title":"Federated Identity Access Broker Pattern for Cloud Computing","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Cloud computing; Single sign-on; Computer science; Software as a service; Cloud computing security; Computer security; Identity management; Authentication (law); Identity (music); Service provider; World Wide Web; Service (business); Software; Operating system; Software development; Business","score_opus":0.03929426178529028,"score_gpt":0.31514960289194827,"score_spread":0.275855341106658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091642697","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":[0.025405101,0.00042205426,0.9310862,0.004088547,0.00035741855,0.0008806481,0.00036673518,0.003763166,0.03363011],"genre_scores_gemma":[0.34020334,0.0004239905,0.6366662,0.0009805624,0.00009430884,0.00051181,0.00075049757,0.00022875136,0.02014055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99537575,0.0014486876,0.00045472133,0.0005788802,0.0016035022,0.0005384196],"domain_scores_gemma":[0.9977617,0.00019969023,0.0002454106,0.0011326823,0.0004470708,0.00021343856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029708813,0.00035374585,0.0005145788,0.0010140148,0.001984993,0.0035546822,0.001947503,0.0025099672,0.0036802955],"category_scores_gemma":[0.004482504,0.00031007736,0.0008739009,0.0021453337,0.0011818131,0.0048014903,0.0030447822,0.002197481,0.0018815077],"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":[0.00031299333,0.00023061145,0.0025644568,0.00014715479,0.00004967225,0.00096320134,0.000870876,0.0067803073,0.010810351,0.8179034,0.024486069,0.13488096],"study_design_scores_gemma":[0.00015772403,0.00024593348,0.0020016644,0.00013272485,0.00006096367,0.0039329557,0.00066801853,0.18957464,0.01937604,0.40044382,0.3832795,0.00012589573],"about_ca_topic_score_codex":0.0038971193,"about_ca_topic_score_gemma":0.0055162017,"teacher_disagreement_score":0.0038971193,"about_ca_system_score_codex":0.0019114619,"about_ca_system_score_gemma":0.002777633,"threshold_uncertainty_score":0.015711665},"labels":[],"label_agreement":null},{"id":"W2093069199","doi":"10.1007/s11633-011-0585-1","title":"Trustworthy assurance of service interoperation in cloud environment","year":2011,"lang":"en","type":"article","venue":"International Journal of Automation and Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Guelph","keywords":"Interoperation; Cloud computing; Computer science; Quality of service; Service (business); Service provider; Service discovery; Mobile QoS; Computer security; Web service; World Wide Web; Computer network; Business; Interoperability","score_opus":0.02092170665230211,"score_gpt":0.2459107056841998,"score_spread":0.22498899903189767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093069199","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":[0.18185104,0.0008062012,0.7978996,0.0034394127,0.0002911975,0.000296199,0.0001478044,0.0012207069,0.014047935],"genre_scores_gemma":[0.970168,0.00014971769,0.028467067,0.0001142822,0.00008542933,0.00004266461,0.00006681946,0.0000535915,0.00085238455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9801958,0.005726205,0.0013538643,0.0013997843,0.009237973,0.0020865023],"domain_scores_gemma":[0.95389813,0.0174058,0.0049853455,0.0151339155,0.0073154634,0.0012613923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011399225,0.00044844896,0.0013555875,0.0014814389,0.0024323286,0.005709988,0.0016981207,0.0026675747,0.0017525911],"category_scores_gemma":[0.039137658,0.00073772797,0.00095784274,0.0010953601,0.0035301466,0.007076603,0.004874661,0.004338351,0.00063563394],"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":[0.0026771824,0.00050140714,0.013048496,0.0004371847,0.0003474698,0.0016937158,0.0021456864,0.14338203,0.04292297,0.6563156,0.0064732083,0.13005503],"study_design_scores_gemma":[0.00013255239,0.0002356734,0.0020794864,0.00009627375,0.00009565125,0.00039348428,0.0004484044,0.7220027,0.020614509,0.24948631,0.0043529416,0.00006202399],"about_ca_topic_score_codex":0.0026655989,"about_ca_topic_score_gemma":0.0016760988,"teacher_disagreement_score":0.011399225,"about_ca_system_score_codex":0.0026887793,"about_ca_system_score_gemma":0.004929165,"threshold_uncertainty_score":0.06028557},"labels":[],"label_agreement":null},{"id":"W2102913334","doi":"10.1109/icdcsw.2012.58","title":"PDP: A Privacy-Preserving Data Provenance Scheme","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Provenance; Computer science; Scheme (mathematics); Server; Computer security; Information privacy; Internet privacy; Database; Computer network","score_opus":0.08408166924693818,"score_gpt":0.3133199083112678,"score_spread":0.22923823906432966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102913334","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":[0.0073772767,0.0004719485,0.9854116,0.00092693407,0.00021708729,0.00048950495,0.0009025649,0.0012932912,0.0029097802],"genre_scores_gemma":[0.32715338,0.0014455464,0.65857226,0.0006248856,0.00026567528,0.00075216,0.0021141905,0.00019558231,0.008876352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939079,0.0015603629,0.00085060025,0.00084738876,0.002481246,0.0003524174],"domain_scores_gemma":[0.9911193,0.0013638478,0.00080759014,0.004796802,0.0014732409,0.00043920937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006371777,0.00043376442,0.0008656651,0.0013632383,0.002253755,0.0025644726,0.002497925,0.0016804928,0.0017810448],"category_scores_gemma":[0.0105,0.0004951778,0.0011789926,0.0028452817,0.0019836598,0.007716496,0.006811053,0.0030989232,0.00085490465],"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":[0.0010987152,0.0002531086,0.0033600412,0.0010926052,0.00018771569,0.0013166458,0.0018376877,0.03141627,0.029753244,0.5833948,0.022829019,0.32346016],"study_design_scores_gemma":[0.00068684825,0.00060612586,0.0017193517,0.0002656707,0.00026132472,0.003983782,0.00043428343,0.24177693,0.051517956,0.4120819,0.28635895,0.0003068025],"about_ca_topic_score_codex":0.0017413426,"about_ca_topic_score_gemma":0.0012342352,"teacher_disagreement_score":0.006371777,"about_ca_system_score_codex":0.0014257147,"about_ca_system_score_gemma":0.005173738,"threshold_uncertainty_score":0.033697605},"labels":[],"label_agreement":null},{"id":"W2104382170","doi":"10.1109/infcom.2013.6567101","title":"Public auditing for shared data with efficient user revocation in the cloud","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":181,"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":"Revocation; Computer science; Cloud computing; Computer security; Audit; Data integrity; Database; Operating system; Overhead (engineering)","score_opus":0.09508017842932087,"score_gpt":0.28399986121031373,"score_spread":0.18891968278099286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104382170","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":[0.17873931,0.00065083004,0.80471104,0.0016143732,0.00024344143,0.0006389371,0.0002659151,0.008102848,0.0050333417],"genre_scores_gemma":[0.939445,0.00011136793,0.057864938,0.00015247501,0.00006712117,0.000117498166,0.00013828541,0.00021052592,0.0018927124],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98499197,0.0048851715,0.001539317,0.0019792034,0.003969511,0.002634893],"domain_scores_gemma":[0.9478012,0.007247567,0.005734899,0.03423776,0.0032094608,0.0017691277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008571762,0.00059361,0.0017972891,0.0012121905,0.0026714862,0.004315571,0.0035601803,0.0015838048,0.002254214],"category_scores_gemma":[0.02124527,0.00085138634,0.0010193096,0.0020409175,0.0027062935,0.01094657,0.009009801,0.003236429,0.00079917756],"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":[0.006298837,0.0018895692,0.027021978,0.00068907253,0.00044920083,0.002706359,0.0044980356,0.113106325,0.091051504,0.23254426,0.018058844,0.501686],"study_design_scores_gemma":[0.0004993072,0.00041229985,0.003404739,0.00013198567,0.00020231637,0.0012065668,0.0006642992,0.8004329,0.08084793,0.09148547,0.020438695,0.0002734697],"about_ca_topic_score_codex":0.0030568356,"about_ca_topic_score_gemma":0.001855445,"teacher_disagreement_score":0.008571762,"about_ca_system_score_codex":0.0025999374,"about_ca_system_score_gemma":0.0060640657,"threshold_uncertainty_score":0.045332313},"labels":[],"label_agreement":null},{"id":"W2109663023","doi":"10.5539/nct.v1n2p66","title":"A Survey of the State of Cloud Security","year":2012,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Union Agency for Network and Information Security","keywords":"Cloud computing; Computer security; Cloud computing security; Computer science; Confidentiality; Service provider; Scalability; Multitenancy; Cryptography; Key (lock); Service (business); Internet privacy; Software as a service; Business; Database","score_opus":0.02799655995209601,"score_gpt":0.2598262237449739,"score_spread":0.23182966379287787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109663023","genre_codex":"review","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":[0.007198508,0.9149181,0.01308265,0.011462796,0.0015586844,0.00011368369,0.00028178742,0.00017038835,0.05121338],"genre_scores_gemma":[0.04859434,0.9341946,0.008891189,0.0021071136,0.0017417949,0.000059458303,0.0003911748,0.00006142866,0.00395891],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971437,0.0005200831,0.0003349066,0.0002825058,0.0014160479,0.00030273895],"domain_scores_gemma":[0.9946713,0.0029882735,0.0004172758,0.00044023644,0.0012061426,0.0002767791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026370436,0.00073939393,0.00089663,0.006053811,0.0017619595,0.0046325955,0.001355596,0.0020383291,0.0046025803],"category_scores_gemma":[0.0053804703,0.0005911077,0.00066925416,0.011433663,0.0016468506,0.008343732,0.0016935186,0.002337173,0.001308362],"study_design_candidate":"observational","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":[0.000091386086,0.00008617929,0.003432457,0.0053515476,0.000040155213,0.00028563585,0.0005286868,0.0024658707,0.0011550763,0.11273707,0.0632853,0.8105407],"study_design_scores_gemma":[0.0000069029475,0.00009286846,0.0031101343,0.0042165685,0.000034447392,0.0013019344,0.00082248735,0.0037697589,0.0008837446,0.030868266,0.9548367,0.000056149183],"about_ca_topic_score_codex":0.003589033,"about_ca_topic_score_gemma":0.003098866,"teacher_disagreement_score":0.006053811,"about_ca_system_score_codex":0.0028060712,"about_ca_system_score_gemma":0.0036088133,"threshold_uncertainty_score":0.020359516},"labels":[],"label_agreement":null},{"id":"W2109859864","doi":"","title":"Trusted CCIPS: A Trust Security Model for Cloud Services Based on a Collaborative Intrusion Detection and Prevention Framework","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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 Victoria","funders":"","keywords":"Cloud computing; Computer security; Computer science; Intrusion detection system; Cloud computing security; Confidentiality; Service provider; Service (business); Business","score_opus":0.01309283849970612,"score_gpt":0.26835454040810464,"score_spread":0.25526170190839853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109859864","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":[0.011935188,0.00022648122,0.979298,0.0007925579,0.000077062374,0.00024928217,0.000053177322,0.0008155373,0.006552614],"genre_scores_gemma":[0.6988116,0.00043774294,0.29374102,0.00026204844,0.000113438255,0.00031533802,0.00014767873,0.00011853855,0.006052521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99664694,0.0008536723,0.00026708582,0.000402907,0.0013806535,0.000448733],"domain_scores_gemma":[0.99750084,0.000488373,0.0003926379,0.00050915946,0.0007342784,0.0003746788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003072484,0.00074940466,0.00073754037,0.001016845,0.0015472951,0.0037654764,0.0025189982,0.0016485811,0.0015002977],"category_scores_gemma":[0.0044122557,0.00044589693,0.0012838017,0.00065279694,0.0021930775,0.0043558897,0.0030966643,0.0023811734,0.00063674105],"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":[0.00024564096,0.00022367603,0.0024036537,0.0002280772,0.00016686325,0.00076350884,0.0014603597,0.22184241,0.008932594,0.6887458,0.006807891,0.06817965],"study_design_scores_gemma":[0.000044332162,0.00014957084,0.00033679284,0.00005833402,0.000071465656,0.00034567848,0.00019005926,0.89716035,0.003207347,0.07912709,0.019242033,0.00006693153],"about_ca_topic_score_codex":0.010667507,"about_ca_topic_score_gemma":0.0076814475,"teacher_disagreement_score":0.010667507,"about_ca_system_score_codex":0.0027424856,"about_ca_system_score_gemma":0.0051162555,"threshold_uncertainty_score":0.02121085},"labels":[],"label_agreement":null},{"id":"W2124861652","doi":"10.1109/ccgrid.2012.55","title":"Integrity Verification of Multiple Data Copies over Untrusted Cloud Servers","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Server; Computer science; Cloud computing; Scalability; Scheme (mathematics); File server; Computer network; Cloud server; Cloud storage; Cloud service provider; Database; Computer security; Distributed computing; Operating system; Cloud computing security","score_opus":0.08581354737686124,"score_gpt":0.3096711737604653,"score_spread":0.22385762638360407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124861652","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":[0.1872169,0.00040432933,0.8045826,0.0012126493,0.00016128497,0.0002339173,0.00030041946,0.0012903912,0.004597538],"genre_scores_gemma":[0.9526396,0.000120006094,0.04513662,0.0000976338,0.00008179671,0.00008430232,0.00016033249,0.000057825262,0.0016218864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98072296,0.0053192074,0.0016020858,0.0025332281,0.008149209,0.0016734005],"domain_scores_gemma":[0.9383947,0.019911477,0.005071563,0.031231493,0.004434952,0.0009558106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008110656,0.00062770356,0.0017553453,0.0008662121,0.0020360423,0.0035910783,0.0033414615,0.0022556484,0.0023785299],"category_scores_gemma":[0.037064694,0.0008929273,0.0011077309,0.0016647531,0.0032543715,0.009182871,0.007922095,0.0030591353,0.00095933967],"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":[0.0051830816,0.0007150756,0.019935964,0.0009681258,0.0005622636,0.0046966476,0.0035967426,0.19735326,0.12939991,0.36279684,0.00572427,0.26906788],"study_design_scores_gemma":[0.00028691159,0.00043072342,0.0014858071,0.00006979349,0.00013318067,0.0015002964,0.00042983823,0.70645916,0.16469495,0.11838658,0.006019861,0.000102835664],"about_ca_topic_score_codex":0.00072901405,"about_ca_topic_score_gemma":0.0003488325,"teacher_disagreement_score":0.008110656,"about_ca_system_score_codex":0.001938134,"about_ca_system_score_gemma":0.0032200436,"threshold_uncertainty_score":0.042893767},"labels":[],"label_agreement":null},{"id":"W2130385839","doi":"10.1109/ic2e.2014.17","title":"Cloud Computing: A Risk Assessment Model","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Cloud computing security; Pooling; Elasticity (physics); Risk analysis (engineering); Computer security; Utility computing; Cloud testing; Risk management; Risk assessment; Business","score_opus":0.02104996427824066,"score_gpt":0.2869450751471697,"score_spread":0.26589511086892903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130385839","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":[0.016931117,0.0012216623,0.94045526,0.0054720673,0.00012284248,0.00030308735,0.00070950086,0.00041334805,0.03437097],"genre_scores_gemma":[0.7560915,0.0026205245,0.21658337,0.0006661296,0.00041002902,0.00067248923,0.0009075826,0.00015686774,0.021891564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978235,0.0007643492,0.00014735457,0.00028403013,0.0007466459,0.00023419182],"domain_scores_gemma":[0.9972138,0.0013473218,0.00034020713,0.00017660912,0.0006854275,0.00023660196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002852271,0.0011469907,0.00071820186,0.0019816046,0.0012317742,0.0044663143,0.0024651752,0.0021119034,0.0041749915],"category_scores_gemma":[0.0053686127,0.0004600219,0.0011754188,0.0021827943,0.0012481088,0.004341726,0.0026770083,0.002392877,0.0009209742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041408,0.00008235357,0.002170486,0.00010737939,0.000065714245,0.00029856383,0.00028393642,0.54744333,0.0005999866,0.41723996,0.00625668,0.025410103],"study_design_scores_gemma":[0.000009983815,0.00002617575,0.0003060613,0.000043350967,0.00002217109,0.0001291501,0.00008494024,0.86614066,0.00016155529,0.12612587,0.006926508,0.000023562456],"about_ca_topic_score_codex":0.012162721,"about_ca_topic_score_gemma":0.0054413467,"teacher_disagreement_score":0.012162721,"about_ca_system_score_codex":0.0029327718,"about_ca_system_score_gemma":0.0036248614,"threshold_uncertainty_score":0.02418387},"labels":[],"label_agreement":null},{"id":"W2134799353","doi":"10.1109/trustcom.2013.193","title":"On Subjective Trust for Privacy Policy Enforcement in Cloud Computing","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Western University","funders":"","keywords":"Cloud computing; Computer science; Enforcement; Computer security; Service provider; Benchmark (surveying); Middleware (distributed applications); Internet privacy; Service (business); Information privacy; Law enforcement; Privacy policy; Database; Business; Operating system","score_opus":0.022275901595633793,"score_gpt":0.2921336334301059,"score_spread":0.2698577318344721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134799353","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":[0.016178837,0.00023592536,0.9762255,0.0018328322,0.000087842054,0.00012599905,0.000035860343,0.00024882448,0.005028478],"genre_scores_gemma":[0.72125036,0.00050984684,0.27486598,0.00049205543,0.00015143456,0.00022331114,0.00007843281,0.00014405434,0.0022846484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97367156,0.013110198,0.0023751718,0.001999057,0.0071839057,0.0016600637],"domain_scores_gemma":[0.9512982,0.02578753,0.003844389,0.011552023,0.0059384755,0.0015793727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017558472,0.00089520996,0.0013326178,0.0015018943,0.0025935846,0.008709742,0.0023010133,0.0027142742,0.0016665617],"category_scores_gemma":[0.058091007,0.001137404,0.0015992327,0.0015698068,0.00911467,0.013668261,0.0055443486,0.0057650167,0.0005284096],"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":[0.00020372136,0.00009779954,0.0017861165,0.00014452457,0.000076237004,0.0003261549,0.0013927831,0.09515121,0.0031309123,0.8714448,0.0013677524,0.02487793],"study_design_scores_gemma":[0.000048476722,0.00010265411,0.0003858363,0.00010128665,0.000049251394,0.00017668681,0.0002606184,0.53284353,0.004043827,0.45558223,0.0063145584,0.000091098314],"about_ca_topic_score_codex":0.0073788906,"about_ca_topic_score_gemma":0.004242941,"teacher_disagreement_score":0.017558472,"about_ca_system_score_codex":0.004894622,"about_ca_system_score_gemma":0.003914584,"threshold_uncertainty_score":0.09285915},"labels":[],"label_agreement":null},{"id":"W2141794726","doi":"10.17722/ijme.v3i2.259","title":"An Overview of Public Cloud Security Issues","year":2014,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Cloud computing security; Outsourcing; Computer science; Computer security; Order (exchange); Purchasing; The Internet; Scale (ratio); Risk analysis (engineering); Business; Marketing; World Wide Web","score_opus":0.05227007923604093,"score_gpt":0.33858179370172675,"score_spread":0.2863117144656858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141794726","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0150847975,0.6906262,0.035616834,0.038871903,0.004033474,0.00026212347,0.000272076,0.00040855524,0.21482408],"genre_scores_gemma":[0.1477806,0.7756949,0.022813521,0.007264456,0.0074743577,0.00021764693,0.0006518336,0.00014937283,0.037953395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808383,0.00028150642,0.00015541993,0.00015730478,0.00097025896,0.00035174852],"domain_scores_gemma":[0.9973852,0.00095744623,0.00032999367,0.00023686413,0.0008835933,0.0002068647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018479854,0.00062884303,0.00038461975,0.0043229572,0.0021627056,0.0049403664,0.0008640223,0.0026624973,0.0054181535],"category_scores_gemma":[0.002424934,0.00045825526,0.00051821134,0.0054728366,0.0013510186,0.007513731,0.0019391322,0.0030918415,0.0015015776],"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":[0.000054924774,0.0001805931,0.0027171567,0.002745007,0.000023412567,0.0007208673,0.0009551999,0.0022051532,0.0021163186,0.34462282,0.11575622,0.52790236],"study_design_scores_gemma":[0.0000033266915,0.000049538143,0.001900155,0.0017799563,0.000019888837,0.0013968393,0.0007547379,0.0021805558,0.0009435312,0.035555605,0.95538753,0.000028408946],"about_ca_topic_score_codex":0.0032877955,"about_ca_topic_score_gemma":0.0024479236,"teacher_disagreement_score":0.0054181535,"about_ca_system_score_codex":0.0032260027,"about_ca_system_score_gemma":0.003641723,"threshold_uncertainty_score":0.023406386},"labels":[],"label_agreement":null},{"id":"W2144731398","doi":"10.1515/jmc-2013-5002","title":"A coding theory foundation for the analysis of general unconditionally secure proof-of-retrievability schemes for cloud storage","year":2013,"lang":"en","type":"article","venue":"Journal of Mathematical Cryptology","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retrievability; Foundation (evidence); Computer science; Cloud computing; Coding (social sciences); Cloud storage; Mathematics; Theoretical computer science; Information retrieval; Statistics; Operating system; Law","score_opus":0.027978865857973833,"score_gpt":0.3078930306575395,"score_spread":0.27991416479956566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144731398","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":[0.031276435,0.0004329804,0.9505126,0.0014059579,0.0000612607,0.00014659115,0.00014412701,0.00016509122,0.015855007],"genre_scores_gemma":[0.87979245,0.0012899621,0.10459721,0.0009003,0.00044943043,0.00068926235,0.00033973253,0.00020895553,0.011732751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99441296,0.0019413765,0.0002119525,0.00049427187,0.0020016416,0.0009379033],"domain_scores_gemma":[0.96112084,0.029688628,0.002240711,0.0031907146,0.002882466,0.000876595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007873983,0.0011644041,0.0012009135,0.0034056082,0.0015936518,0.003553534,0.0027403333,0.0026715205,0.006540802],"category_scores_gemma":[0.038404275,0.00093727576,0.0025292183,0.00223348,0.008519475,0.008099697,0.0045527564,0.006905261,0.00097409356],"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":[0.000014285113,0.000015207988,0.00019562982,0.000031737065,0.000010182515,0.00004874778,0.000108410975,0.025547542,0.00036026398,0.97146654,0.00041414163,0.0017873199],"study_design_scores_gemma":[0.0000117794025,0.000021315627,0.00012308647,0.000039683095,0.0000094746965,0.000051057228,0.000035921395,0.29563668,0.00046183824,0.7026258,0.00096285105,0.000020557576],"about_ca_topic_score_codex":0.0033049062,"about_ca_topic_score_gemma":0.0016227561,"teacher_disagreement_score":0.008270596,"about_ca_system_score_codex":0.008270596,"about_ca_system_score_gemma":0.004473431,"threshold_uncertainty_score":0.06000763},"labels":[],"label_agreement":null},{"id":"W2144787680","doi":"10.1504/ijbpim.2014.063515","title":"Cloud service negotiation: a research report","year":2014,"lang":"en","type":"article","venue":"International Journal of Business Process Integration and Management","topic":"Cloud Data Security Solutions","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":"Queen's University","funders":"European Commission","keywords":"Quality of service; Cloud computing; Mobile QoS; Negotiation; Computer science; Service (business); Resource (disambiguation); Process management; Service provider; Computer network; Business; Marketing","score_opus":0.04334316998398718,"score_gpt":0.3538426753772334,"score_spread":0.3104995053932462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144787680","genre_codex":"review","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":[0.014072691,0.71099526,0.087062225,0.018747427,0.0050106165,0.00057849736,0.00041504644,0.0006320897,0.16248626],"genre_scores_gemma":[0.17253761,0.6696896,0.09401246,0.003510711,0.005672653,0.00054756313,0.0019364834,0.00052903866,0.051563945],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99182534,0.0016097637,0.0009003029,0.0016700069,0.0031335047,0.00086108624],"domain_scores_gemma":[0.98483616,0.0070923474,0.0008097155,0.0011335852,0.00502395,0.00110422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011621026,0.0011648334,0.0013060165,0.0075948606,0.0033953697,0.014382025,0.002060904,0.003459698,0.008773156],"category_scores_gemma":[0.015776029,0.0015264838,0.001514185,0.017300954,0.0027363237,0.018606562,0.0035193176,0.004678768,0.00423807],"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":[0.0002134191,0.0007642658,0.0026912778,0.0026596012,0.00007789973,0.00042671632,0.0018234965,0.0052519925,0.0021973604,0.31255835,0.052771654,0.61856407],"study_design_scores_gemma":[0.000036970796,0.00029767712,0.001977163,0.002540446,0.00009466535,0.0010807377,0.0022929565,0.021066034,0.0040629925,0.06790373,0.8985383,0.000108363296],"about_ca_topic_score_codex":0.009361009,"about_ca_topic_score_gemma":0.0035190217,"teacher_disagreement_score":0.014382025,"about_ca_system_score_codex":0.008932976,"about_ca_system_score_gemma":0.010449173,"threshold_uncertainty_score":0.064813614},"labels":[],"label_agreement":null},{"id":"W2153744397","doi":"10.1145/2381913.2381920","title":"Unity","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":15,"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; Exploit; Cloud computing; Cloud storage; Service provider; Service (business); Computer security; Database; Operating system; Business","score_opus":0.035249202415153176,"score_gpt":0.27239886879387054,"score_spread":0.23714966637871737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153744397","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008996173,0.0016481569,0.15818878,0.002362243,0.0015247009,0.0005650647,0.0042573973,0.05935152,0.763106],"genre_scores_gemma":[0.113657676,0.0020858077,0.09349072,0.0021699478,0.00043877898,0.00046470098,0.012887499,0.0101755075,0.7646293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983267,0.00017685781,0.00009415422,0.0003307588,0.00077752303,0.00029399674],"domain_scores_gemma":[0.9980332,0.0001919846,0.000085921354,0.00055761664,0.00080382376,0.0003274366],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009981033,0.0009319569,0.00061673607,0.0013681763,0.0017274834,0.0046226084,0.0021619701,0.0015603892,0.17120114],"category_scores_gemma":[0.004710283,0.00065587915,0.00078185834,0.0011160435,0.0010022718,0.0053218063,0.0058959886,0.0016600499,0.1021581],"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":[0.0007597168,0.0001200264,0.0014102533,0.0006674118,0.000033149412,0.00036650948,0.0011795769,0.0017573884,0.015207929,0.20844989,0.42722,0.34282818],"study_design_scores_gemma":[0.00002944166,0.000043056938,0.00031773257,0.00006985493,0.000012044132,0.00025693548,0.000115598246,0.0018684719,0.004637731,0.011008704,0.9816126,0.000027924054],"about_ca_topic_score_codex":0.0033429435,"about_ca_topic_score_gemma":0.003914377,"teacher_disagreement_score":0.8287989,"about_ca_system_score_codex":0.001256855,"about_ca_system_score_gemma":0.0024561512,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2156388974","doi":"10.2196/medinform.3709","title":"CIMIDx: Prototype for a Cloud-Based System to Support Intelligent Medical Image Diagnosis With Efficiency","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidade de São Paulo","keywords":"Cloud computing; Computer science; The Internet; Mammography; Breast cancer; Medical diagnosis; Intervention (counseling); Artificial intelligence; Multimedia; Machine learning; Medicine; Cancer; World Wide Web; Pathology; Nursing","score_opus":0.03096034550245673,"score_gpt":0.31635320553122614,"score_spread":0.2853928600287694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156388974","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":[0.14459857,0.0014538952,0.60750055,0.0016305961,0.0006687035,0.00610203,0.005744293,0.22011788,0.012183539],"genre_scores_gemma":[0.5357172,0.00067490747,0.43922088,0.0014022529,0.00016053933,0.0018784468,0.008473087,0.0019394304,0.010533269],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921334,0.00011352237,0.00008356943,0.00021168216,0.00028796183,0.000089741945],"domain_scores_gemma":[0.9986743,0.00044816922,0.000096428936,0.00020558738,0.00030178923,0.00027378587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011540276,0.00091126433,0.00075927866,0.00068272144,0.00034192848,0.0009198349,0.0034326692,0.00071569986,0.009208822],"category_scores_gemma":[0.003050869,0.00046799495,0.0005016709,0.0004555312,0.0003295681,0.0010208649,0.0012684085,0.0009708248,0.0022908244],"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":[0.009872099,0.0026481515,0.039353177,0.0026793387,0.00082182884,0.0046332274,0.0016528596,0.024937611,0.15723325,0.006802283,0.16690138,0.5824648],"study_design_scores_gemma":[0.0033838996,0.0029824902,0.033504315,0.00039646402,0.00053182273,0.004193935,0.00037992655,0.65783995,0.14508176,0.0036487714,0.14765616,0.0004005376],"about_ca_topic_score_codex":0.003075706,"about_ca_topic_score_gemma":0.0016059636,"teacher_disagreement_score":0.009208822,"about_ca_system_score_codex":0.000725772,"about_ca_system_score_gemma":0.00091177115,"threshold_uncertainty_score":0.030806601},"labels":[],"label_agreement":null},{"id":"W2156498190","doi":"10.1002/cpe.3573","title":"Provable multiple replication data possession with full dynamics for secure cloud storage","year":2015,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":56,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Merkle tree; Data integrity; Cloud storage; Hash function; Replication (statistics); Server; Reliability (semiconductor); Cloud computing; Overhead (engineering); Computer network; Computer security; Distributed computing; Hash chain; Encryption; Operating system","score_opus":0.07417905640899732,"score_gpt":0.3620698924480471,"score_spread":0.2878908360390498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156498190","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":[0.060593974,0.0009940345,0.9279494,0.002006213,0.00019447452,0.0003154236,0.0001510036,0.0011943141,0.0066011827],"genre_scores_gemma":[0.8933087,0.0003601683,0.10346709,0.0002514758,0.00013841798,0.0002415736,0.0001412396,0.000079183745,0.00201215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99282277,0.0021955362,0.0005640787,0.00069394545,0.0032023455,0.0005213292],"domain_scores_gemma":[0.98617214,0.005632774,0.0012484543,0.005085578,0.0014278289,0.00043322885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047437274,0.00039765256,0.00089487305,0.0006938554,0.0013718774,0.0020814836,0.001900066,0.0012759696,0.002357373],"category_scores_gemma":[0.012961099,0.0004703218,0.0009261611,0.00073017523,0.0029378906,0.006223014,0.0056661186,0.0029393798,0.0006688429],"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":[0.0010157973,0.0002335166,0.0023747475,0.0008004217,0.00012695171,0.0014898884,0.0013582838,0.103401765,0.0692508,0.6732448,0.0061583132,0.14054467],"study_design_scores_gemma":[0.00017892415,0.00046228195,0.0004121475,0.00010744119,0.00006179061,0.001629245,0.00035038983,0.6151194,0.052562248,0.31004882,0.018940555,0.00012686617],"about_ca_topic_score_codex":0.000488632,"about_ca_topic_score_gemma":0.0003253412,"teacher_disagreement_score":0.0047437274,"about_ca_system_score_codex":0.0015491343,"about_ca_system_score_gemma":0.0021602006,"threshold_uncertainty_score":0.025087535},"labels":[],"label_agreement":null},{"id":"W2156605140","doi":"10.17722/ijrbt.v3i1.93","title":"Designing an Optimal Cloud Migration Strategy","year":2013,"lang":"en","type":"article","venue":"International Journal of Research in Business and Technology","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Globe; Computer science; Process (computing); Computer security; Cloud computing security; Business; Risk analysis (engineering); Process management; Operating system","score_opus":0.06354606219394336,"score_gpt":0.3717218027952066,"score_spread":0.30817574060126324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156605140","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":[0.13532257,0.000861038,0.8364022,0.0022450674,0.00018131146,0.00076363597,0.000109740686,0.00054713874,0.023567231],"genre_scores_gemma":[0.8220547,0.0005260767,0.17299612,0.00029550065,0.000030603427,0.00028105808,0.00008186576,0.00012031249,0.0036137868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999353,0.0001733905,0.000036079397,0.00010606155,0.00011675353,0.00021469756],"domain_scores_gemma":[0.9991874,0.00025180896,0.00012398495,0.00005862111,0.00021492704,0.0001633263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008280496,0.0010457998,0.0007346705,0.0009699404,0.001028178,0.0017555492,0.0010481143,0.0013995711,0.0030515825],"category_scores_gemma":[0.0029746438,0.000460515,0.00035886865,0.0005804155,0.0005464949,0.002418003,0.0013071577,0.0009262684,0.00052357424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019558653,0.00025615754,0.0029575033,0.00026418123,0.00008147151,0.00071006146,0.0002659553,0.8003467,0.026129475,0.065786764,0.00660029,0.0964059],"study_design_scores_gemma":[0.000026135016,0.00009793507,0.00060194486,0.00003759195,0.000024707868,0.00012920196,0.00043802385,0.97971433,0.00232677,0.0134712765,0.0031129401,0.000019192732],"about_ca_topic_score_codex":0.004977556,"about_ca_topic_score_gemma":0.003861111,"teacher_disagreement_score":0.004977556,"about_ca_system_score_codex":0.0016061616,"about_ca_system_score_gemma":0.0026634969,"threshold_uncertainty_score":0.011653602},"labels":[],"label_agreement":null},{"id":"W2160341418","doi":"","title":"CCIPS: A Cooperative Intrusion Detection and Prevention Framework for Cloud Services","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Cloud computing; Computer science; Computer security; Cloud computing security; Intrusion detection system; Scalability; Database","score_opus":0.01517207596435564,"score_gpt":0.27865451895241494,"score_spread":0.2634824429880593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160341418","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":[0.004318703,0.00014227499,0.98845834,0.0003065322,0.000035810303,0.00037235176,0.000055118337,0.0041226572,0.0021881666],"genre_scores_gemma":[0.2810104,0.00027885044,0.7144501,0.00022011666,0.00006229737,0.00049939787,0.0002828228,0.00020229557,0.002993705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810445,0.00036977913,0.00012634753,0.00024505347,0.0009125452,0.00024175498],"domain_scores_gemma":[0.9988285,0.00027717857,0.00020214288,0.00021161334,0.0002908798,0.0001896745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030822032,0.0009851992,0.00064085296,0.001503756,0.0012261232,0.002546024,0.003152326,0.0012766923,0.0012927516],"category_scores_gemma":[0.002735261,0.0005033615,0.0013010752,0.0006943088,0.0014737123,0.0024312667,0.0033571,0.0018563529,0.00040992035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034738434,0.000596632,0.006006844,0.0004677343,0.00033263373,0.0008122599,0.0016033007,0.37955,0.02452664,0.3421755,0.020417254,0.2231638],"study_design_scores_gemma":[0.00003133582,0.00009215813,0.00041221586,0.000035663506,0.000048389862,0.00015746058,0.000076101875,0.95667964,0.004133671,0.019863153,0.018431297,0.000038921116],"about_ca_topic_score_codex":0.014379863,"about_ca_topic_score_gemma":0.013756449,"teacher_disagreement_score":0.014379863,"about_ca_system_score_codex":0.0018407964,"about_ca_system_score_gemma":0.004886676,"threshold_uncertainty_score":0.028592288},"labels":[],"label_agreement":null},{"id":"W2161673726","doi":"10.1109/espre.2015.7330161","title":"Inclusion of security requirements in SLA lifecycle management for cloud computing","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Cloud computing; Service-level agreement; Computer science; Cloud computing security; Application lifecycle management; Computer security; Process management; Operating system; Business","score_opus":0.047621614880819535,"score_gpt":0.3171749779885353,"score_spread":0.2695533631077157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161673726","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":[0.026372291,0.0009064081,0.9441128,0.0033146543,0.00033784122,0.0005197604,0.0001684421,0.0006253193,0.023642499],"genre_scores_gemma":[0.5718809,0.0011137786,0.42193726,0.0004735814,0.00018500155,0.00044393959,0.00039366665,0.00023555341,0.0033363302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9897509,0.0038176456,0.00094981684,0.00048035668,0.004005558,0.000995766],"domain_scores_gemma":[0.9896988,0.0037310463,0.0015620862,0.0018156229,0.0027619568,0.00043049993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009138293,0.0005910554,0.00054172106,0.0016079993,0.0018166422,0.0048538414,0.0011432851,0.0014199689,0.0014900706],"category_scores_gemma":[0.016158147,0.00059061835,0.0010397888,0.0012665247,0.0015599895,0.0068274587,0.0026946869,0.003219759,0.00066545396],"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":[0.00015829333,0.0002833374,0.0042255097,0.00068108743,0.00008127002,0.0008003561,0.002078661,0.08366771,0.014662789,0.6902253,0.009671969,0.19346361],"study_design_scores_gemma":[0.000060975297,0.00029391804,0.0028979261,0.0011298147,0.00011751469,0.000951933,0.0017405192,0.5505152,0.016825486,0.2888108,0.13646063,0.00019528494],"about_ca_topic_score_codex":0.0028346071,"about_ca_topic_score_gemma":0.0031628474,"teacher_disagreement_score":0.009138293,"about_ca_system_score_codex":0.0019196386,"about_ca_system_score_gemma":0.005791561,"threshold_uncertainty_score":0.04832846},"labels":[],"label_agreement":null},{"id":"W2210562671","doi":"10.1016/j.jisa.2015.08.001","title":"An evaluation of recent secure deduplication proposals","year":2015,"lang":"en","type":"article","venue":"Journal of Information Security and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Data deduplication; Computer science; Computer security; Cloud computing; Upload; Software deployment; Cloud storage; Internet privacy; Encryption; World Wide Web","score_opus":0.04817805869765356,"score_gpt":0.33146149440770784,"score_spread":0.28328343571005427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210562671","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":[0.8540462,0.039325826,0.059228923,0.005106356,0.0025505289,0.0016716723,0.001666035,0.0067015607,0.029702824],"genre_scores_gemma":[0.9426845,0.0056100967,0.043100715,0.0005970188,0.000457972,0.00022010125,0.0018306717,0.00029463225,0.005204352],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9884531,0.0032784408,0.001059925,0.0009458704,0.00541721,0.00084543275],"domain_scores_gemma":[0.95488256,0.022405801,0.0018423392,0.012468014,0.0073830565,0.0010181634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016687082,0.0011180477,0.0010232525,0.0022697288,0.0021606046,0.0033478437,0.0036680938,0.0016720918,0.0061744056],"category_scores_gemma":[0.032948945,0.00054884556,0.0010350528,0.002803388,0.001838975,0.006290564,0.0021296549,0.0016419283,0.0013434254],"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":[0.025159653,0.0032762513,0.020683149,0.0047689974,0.0013787904,0.00072675134,0.0011425206,0.081440546,0.03594826,0.05737313,0.041108236,0.7269937],"study_design_scores_gemma":[0.009432759,0.028437998,0.02339904,0.0012953862,0.003322691,0.0052299793,0.0042217723,0.53914195,0.17550854,0.042090468,0.1672865,0.00063298113],"about_ca_topic_score_codex":0.0011681364,"about_ca_topic_score_gemma":0.0016852979,"teacher_disagreement_score":0.016687082,"about_ca_system_score_codex":0.0021440317,"about_ca_system_score_gemma":0.0027593814,"threshold_uncertainty_score":0.088250756},"labels":[],"label_agreement":null},{"id":"W2217916065","doi":"10.1016/j.dam.2015.09.018","title":"Similarity based deduplication with small data chunks","year":2015,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Data deduplication; Backup; Hash function; Scalability; Petabyte; Extension (predicate logic); Data mining; Theoretical computer science; Database; Big data; Programming language","score_opus":0.12396997888523115,"score_gpt":0.2851796968870112,"score_spread":0.16120971800178008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2217916065","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":[0.17112681,0.0026327295,0.8152438,0.00073904527,0.001018374,0.0005642794,0.0007338249,0.0026276123,0.005313565],"genre_scores_gemma":[0.6536655,0.00051414565,0.33737245,0.00027691573,0.00036505912,0.00017713901,0.0010805322,0.00020424637,0.0063439915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830556,0.00032769903,0.00021699032,0.00028859937,0.00072500616,0.00013613683],"domain_scores_gemma":[0.9908592,0.0024401902,0.00042803618,0.004679808,0.0013691881,0.00022354964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019495052,0.00060044625,0.0012119255,0.0011958759,0.0012017974,0.0016013507,0.0012699565,0.00093726773,0.0029007446],"category_scores_gemma":[0.009563007,0.0004257405,0.0005620107,0.0019597842,0.0006842489,0.0036162075,0.002328293,0.00085972593,0.00090227986],"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":[0.00404319,0.0006069197,0.0066878446,0.00083129684,0.00029588523,0.0012560362,0.00078565814,0.098183885,0.07402565,0.038825296,0.023794627,0.7506637],"study_design_scores_gemma":[0.00024560714,0.0008556886,0.0027097308,0.00010287307,0.00017565745,0.002127808,0.0006760257,0.7980712,0.120621756,0.057023045,0.01728363,0.000106946885],"about_ca_topic_score_codex":0.0004598051,"about_ca_topic_score_gemma":0.00087484356,"teacher_disagreement_score":0.0029007446,"about_ca_system_score_codex":0.00043187663,"about_ca_system_score_gemma":0.0011180755,"threshold_uncertainty_score":0.010310113},"labels":[],"label_agreement":null},{"id":"W2248302901","doi":"10.1145/2767181","title":"The State of Public Infrastructure-as-a-Service Cloud Security","year":2015,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Cloud computing security; Competition (biology); Computer security; Computer science; Work (physics); Service (business); State (computer science); Security service; Business; Information security; Marketing","score_opus":0.07616722711998783,"score_gpt":0.34027597236407064,"score_spread":0.2641087452440828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248302901","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027802985,0.9480728,0.004098487,0.014112143,0.0009181602,0.000030152953,0.00006962598,0.00007241572,0.029845895],"genre_scores_gemma":[0.034643248,0.95631677,0.0019959756,0.002588228,0.0011811834,0.000037540074,0.00012076253,0.000035094097,0.0030812041],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971745,0.00063302857,0.0001488778,0.00039544917,0.0012746073,0.0003735727],"domain_scores_gemma":[0.9914396,0.0039537055,0.00074602873,0.0007530621,0.002682286,0.00042532248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049853814,0.00046614188,0.0007793011,0.0030977775,0.0012610999,0.0049288278,0.0016235126,0.0022264102,0.0053179176],"category_scores_gemma":[0.007647158,0.0005039897,0.0006310783,0.005537593,0.0024151765,0.009402853,0.0018335084,0.003487888,0.0025044756],"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":[0.00004567076,0.000082709164,0.00093366305,0.005790889,0.00004733698,0.00009170764,0.0003698473,0.0011606667,0.0011362489,0.23438014,0.04525255,0.71070856],"study_design_scores_gemma":[0.0000058302894,0.000078200435,0.0011120016,0.0042803967,0.000034086177,0.00036434084,0.00037343774,0.00067564246,0.00072040246,0.023917345,0.9684097,0.0000286949],"about_ca_topic_score_codex":0.0051193703,"about_ca_topic_score_gemma":0.003998094,"teacher_disagreement_score":0.0053179176,"about_ca_system_score_codex":0.0048128897,"about_ca_system_score_gemma":0.00815139,"threshold_uncertainty_score":0.034920156},"labels":[],"label_agreement":null},{"id":"W2250187811","doi":"","title":"Transactions on computational science X: special issue on security in computing, part I","year":2010,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"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 Calgary","funders":"","keywords":"Computer science; Computer security; Computational science","score_opus":0.015686540392432995,"score_gpt":0.25970028427034075,"score_spread":0.24401374387790775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2250187811","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005918416,0.26822293,0.08080123,0.016605226,0.14439096,0.0003377767,0.0016651199,0.0016750983,0.4803833],"genre_scores_gemma":[0.034867287,0.20624597,0.041868612,0.0039005724,0.04655532,0.00036994193,0.003403649,0.0014093613,0.6613793],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896216,0.000121901925,0.00006462633,0.0001757396,0.00060231274,0.0000732167],"domain_scores_gemma":[0.99867225,0.0004475565,0.000057145928,0.0002414226,0.0004424117,0.00013921234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010472898,0.0017557483,0.0025434436,0.0016257162,0.0007042966,0.0036785214,0.001241795,0.001509274,0.07451425],"category_scores_gemma":[0.0024630446,0.0005747678,0.0008413422,0.0043472005,0.001190592,0.0030463703,0.0013624363,0.0041171317,0.033146158],"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":[0.000053198866,0.00007713169,0.00025550535,0.00081739645,0.000058941852,0.000057860383,0.00006213335,0.0013688698,0.0017380844,0.030220754,0.7129763,0.25231385],"study_design_scores_gemma":[0.000031346317,0.00007651997,0.0014609204,0.00043202296,0.00005025443,0.00046638015,0.000083009145,0.006240693,0.0008901875,0.042708784,0.9475352,0.000024656809],"about_ca_topic_score_codex":0.001383744,"about_ca_topic_score_gemma":0.0021511384,"teacher_disagreement_score":0.07451425,"about_ca_system_score_codex":0.0013920956,"about_ca_system_score_gemma":0.0015499627,"threshold_uncertainty_score":0.24927497},"labels":[],"label_agreement":null},{"id":"W2279440732","doi":"10.1007/s10723-015-9356-5","title":"Towards Media Inter-cloud Standardization – Evaluating Impact of Cloud Storage Heterogeneity","year":2016,"lang":"en","type":"article","venue":"Journal of Grid Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cloud computing; Computer science; Cloud testing; Key (lock); Quality of service; Popularity; Architecture; Cloud storage; The Internet; Cloud computing security; Database; Distributed computing; World Wide Web; Computer security; Computer network; Operating system","score_opus":0.04046578535632404,"score_gpt":0.34599647762627944,"score_spread":0.3055306922699554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279440732","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":[0.9546915,0.00017953292,0.038623616,0.00023835634,0.000048959082,0.00019687468,0.00021521749,0.00025729658,0.0055485717],"genre_scores_gemma":[0.99253184,0.0000345824,0.006901912,0.000026560345,0.00001011723,0.000033732493,0.0001381482,0.000033080207,0.00028999706],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99549896,0.0020361803,0.0003438179,0.00043670306,0.0013245244,0.0003598764],"domain_scores_gemma":[0.9712975,0.011922889,0.0025301175,0.0071248244,0.00639954,0.0007250809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008580548,0.00045344586,0.0003527788,0.0013584237,0.0006845219,0.0034438302,0.0011505509,0.0008654073,0.0018466215],"category_scores_gemma":[0.032399822,0.00024579916,0.0005067618,0.0018325085,0.0015956152,0.0052990587,0.0017829066,0.0008407195,0.00033367742],"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":[0.010111508,0.0031799872,0.3080895,0.00059207383,0.0009838166,0.00031684415,0.0016501065,0.30033037,0.08038027,0.052428305,0.0023884103,0.23954879],"study_design_scores_gemma":[0.0004910867,0.003976611,0.13148437,0.00010255325,0.00090865674,0.0002599966,0.0044663744,0.66090536,0.15096372,0.041073747,0.0052235858,0.00014396397],"about_ca_topic_score_codex":0.0056820097,"about_ca_topic_score_gemma":0.0024601067,"teacher_disagreement_score":0.008580548,"about_ca_system_score_codex":0.0014646302,"about_ca_system_score_gemma":0.0017883604,"threshold_uncertainty_score":0.045378804},"labels":[],"label_agreement":null},{"id":"W2284032370","doi":"10.1109/cloudcom.2015.80","title":"Security Compliance Auditing of Identity and Access Management in the Cloud: Application to OpenStack","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Identity management; Audit; Computer security; Compliance (psychology); Identity (music); Computer science; Internet privacy; Business; Access control; Operating system; Accounting","score_opus":0.11356410625661854,"score_gpt":0.37948207688114544,"score_spread":0.2659179706245269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284032370","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":[0.27457154,0.0006658161,0.67172146,0.0013411768,0.0002689872,0.0010179605,0.00024235796,0.044390686,0.005779993],"genre_scores_gemma":[0.84025395,0.00019796469,0.15751612,0.00011799477,0.00003314976,0.000091105234,0.00016272209,0.00054216,0.0010848098],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941287,0.0020063522,0.00043097913,0.00054115773,0.0022846048,0.0006081748],"domain_scores_gemma":[0.9883193,0.0042030727,0.0014866503,0.0038148381,0.0015628892,0.00061340176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004863144,0.00044555234,0.00057689013,0.0012867515,0.0010845828,0.0015796165,0.0014851325,0.00085597776,0.0012421038],"category_scores_gemma":[0.012892687,0.0003861383,0.0005393745,0.0010253912,0.0021821319,0.0025490278,0.0028020688,0.001680889,0.0002471723],"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":[0.0016863152,0.0018647482,0.041640252,0.0009892586,0.00023278852,0.0026215084,0.0046844254,0.16445008,0.053888645,0.06023439,0.0123332525,0.6553744],"study_design_scores_gemma":[0.00012619935,0.00026722313,0.006608594,0.00015446439,0.00007503451,0.0008364357,0.0005221505,0.9216282,0.035140432,0.020424414,0.014081718,0.0001350951],"about_ca_topic_score_codex":0.00742335,"about_ca_topic_score_gemma":0.0039026092,"teacher_disagreement_score":0.00742335,"about_ca_system_score_codex":0.0015304754,"about_ca_system_score_gemma":0.0041977167,"threshold_uncertainty_score":0.025719047},"labels":[],"label_agreement":null},{"id":"W2364435379","doi":"","title":"Improved Data Assured Deletion Model in Cloud Computing Environment","year":2014,"lang":"en","type":"article","venue":"Computer & Network","topic":"Cloud Data Security Solutions","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":"Université du Québec","funders":"","keywords":"Computer science; Cloud computing; Encryption; Overhead (engineering); Computer security; Distributed computing; Distributed hash table; Hash function; Ciphertext; Hash tree; Tree (set theory); Computer network; Scheme (mathematics); Key (lock); Hash table; Operating system","score_opus":0.028349728866466677,"score_gpt":0.2427706572722725,"score_spread":0.21442092840580584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364435379","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":[0.037680604,0.00040099377,0.95377505,0.0008778403,0.0001595056,0.00029524724,0.00025785834,0.0007319631,0.005820881],"genre_scores_gemma":[0.8240552,0.0005595003,0.16653024,0.00028382882,0.00014642855,0.00024736873,0.00046263688,0.00012548597,0.007589354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99525553,0.0011216437,0.00034732587,0.0008305426,0.0017983502,0.0006466015],"domain_scores_gemma":[0.99543035,0.0009384882,0.0003581063,0.0017245226,0.0012463762,0.0003021479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024179157,0.0005318477,0.0009834756,0.0009829768,0.0023715962,0.0026412357,0.0033273958,0.0013873648,0.0025448992],"category_scores_gemma":[0.004927647,0.00033879673,0.0010027484,0.0017338439,0.0015106811,0.0065208958,0.003631512,0.0017952466,0.0007789417],"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":[0.0015866079,0.000277744,0.0051532467,0.00043919822,0.00012685596,0.0019051665,0.0016487087,0.2429531,0.031643596,0.5143568,0.011878018,0.18803099],"study_design_scores_gemma":[0.00012664752,0.00026229714,0.00048121574,0.000037435646,0.00006188444,0.0010369602,0.00026724077,0.89920706,0.017479774,0.061656166,0.019279782,0.00010368242],"about_ca_topic_score_codex":0.003776843,"about_ca_topic_score_gemma":0.001788168,"teacher_disagreement_score":0.003776843,"about_ca_system_score_codex":0.0022027977,"about_ca_system_score_gemma":0.003494758,"threshold_uncertainty_score":0.015982449},"labels":[],"label_agreement":null},{"id":"W2371737243","doi":"","title":"Automatic Data Recovery Technology with System Parameter Detection","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Backup; Data recovery; Usability; Reliability (semiconductor); Software; Data loss; Database; Data mining; Operating system","score_opus":0.014047265478310138,"score_gpt":0.24621011083752176,"score_spread":0.2321628453592116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371737243","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":[0.033366766,0.00055713754,0.94932103,0.00030043424,0.0002846552,0.00024543935,0.00011206383,0.01283066,0.0029818155],"genre_scores_gemma":[0.64974546,0.00060262496,0.3368758,0.0006301654,0.00024477337,0.00042124625,0.00040760057,0.000874649,0.010197753],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969823,0.00040421274,0.00024910306,0.0007330322,0.0013443262,0.0002870825],"domain_scores_gemma":[0.99621284,0.0008361248,0.00038779504,0.0014512776,0.0010226016,0.00008943185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010461769,0.0009440585,0.000983654,0.002735918,0.00086671324,0.0015362968,0.002266385,0.0011955342,0.003305786],"category_scores_gemma":[0.004203551,0.0005473384,0.0008277561,0.0012418831,0.001145396,0.003536839,0.0018837983,0.0019163423,0.001699278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079831434,0.0003244176,0.0029717078,0.00053390645,0.000117428055,0.00072795496,0.000924268,0.009404643,0.41903102,0.023567682,0.010204239,0.53139436],"study_design_scores_gemma":[0.000100513425,0.0006015141,0.0016835703,0.00008170716,0.00017797027,0.0019289522,0.00015308571,0.15078771,0.800103,0.00942294,0.034704905,0.00025401864],"about_ca_topic_score_codex":0.00054327154,"about_ca_topic_score_gemma":0.00029473111,"teacher_disagreement_score":0.003305786,"about_ca_system_score_codex":0.00075487164,"about_ca_system_score_gemma":0.00084481505,"threshold_uncertainty_score":0.011058986},"labels":[],"label_agreement":null},{"id":"W2391079959","doi":"","title":"OmniSep: Data Isolation for Cloud Services","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Newborn Screening Ontario","funders":"","keywords":"Cloud computing; Computer science; Computer security; Service provider; Cloud computing security; Isolation (microbiology); Reliability (semiconductor); Service (business); Data breach; Business","score_opus":0.0597817355068375,"score_gpt":0.31206887262828714,"score_spread":0.2522871371214496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391079959","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":[0.01961868,0.0009951027,0.9701608,0.0010615371,0.00019691192,0.00026696557,0.000076880075,0.0033321998,0.004290837],"genre_scores_gemma":[0.48072848,0.0011878096,0.5110536,0.0007667159,0.00020149085,0.00027626764,0.0002970052,0.0007924608,0.0046961624],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99552625,0.00084695447,0.00031482626,0.00046631988,0.0021330845,0.00071247976],"domain_scores_gemma":[0.99394447,0.0014642003,0.0008673252,0.0023350564,0.0009573005,0.00043170154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003954767,0.0010664348,0.00094908185,0.0013170933,0.0021512245,0.0023904445,0.003109082,0.0009140016,0.0019789792],"category_scores_gemma":[0.008411084,0.00067782763,0.001188408,0.0010592433,0.0015862015,0.0061018835,0.008253195,0.0036305266,0.0007096119],"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":[0.0012267652,0.00063512713,0.009481294,0.0013741538,0.0003030214,0.001141242,0.0019963435,0.050218847,0.08461311,0.18236381,0.019141387,0.64750487],"study_design_scores_gemma":[0.00021252877,0.00079618907,0.0041792826,0.00035847118,0.0002771201,0.0030690643,0.001420385,0.5453147,0.14008333,0.15429324,0.14975688,0.00023879521],"about_ca_topic_score_codex":0.0014015209,"about_ca_topic_score_gemma":0.0018269211,"teacher_disagreement_score":0.003954767,"about_ca_system_score_codex":0.0010437618,"about_ca_system_score_gemma":0.0026627078,"threshold_uncertainty_score":0},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"grok","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"opus","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W2403115307","doi":"","title":"On Verifying Dynamic Multiple Data Copies over Cloud Servers.","year":2011,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":77,"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 Waterloo","funders":"","keywords":"Computer science; Server; Scalability; Cloud computing; Outsourcing; File server; Computer network; Block (permutation group theory); Cloud storage; Database; Cheating; Service provider; Distributed computing; Service (business); Computer security; Operating system","score_opus":0.059044838352927405,"score_gpt":0.30448366913741975,"score_spread":0.24543883078449236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403115307","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":[0.03815746,0.0008426247,0.9474008,0.0036629047,0.00025689218,0.000530961,0.0003857964,0.001092165,0.0076704114],"genre_scores_gemma":[0.7608911,0.0010199718,0.22924575,0.0012285522,0.0005563005,0.0005799801,0.0006494781,0.00022678493,0.0056020957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9629764,0.012629072,0.002564053,0.00410958,0.015317582,0.0024033447],"domain_scores_gemma":[0.83304083,0.09971404,0.009999273,0.048982028,0.006633344,0.0016304632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0176906,0.0016291483,0.002349536,0.0022350089,0.0037733281,0.004417942,0.0056274333,0.0048279027,0.0041991663],"category_scores_gemma":[0.1003157,0.0014780014,0.0019322959,0.003387994,0.012099086,0.02236681,0.01256095,0.007448563,0.0019678308],"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":[0.0027189404,0.00063901657,0.006495855,0.0013768608,0.000543342,0.0016601776,0.0023745368,0.111956246,0.025231313,0.6547847,0.012980853,0.1792382],"study_design_scores_gemma":[0.0006483488,0.00077031925,0.0011950586,0.00025432088,0.00021317485,0.002426195,0.0005645273,0.37357426,0.05277369,0.55539185,0.011974173,0.00021409655],"about_ca_topic_score_codex":0.0012398461,"about_ca_topic_score_gemma":0.0009371579,"teacher_disagreement_score":0.0176906,"about_ca_system_score_codex":0.0047679944,"about_ca_system_score_gemma":0.0050132493,"threshold_uncertainty_score":0.093557954},"labels":[],"label_agreement":null},{"id":"W2410319475","doi":"10.1145/2906153","title":"Ensuring Security and Privacy Preservation for Cloud Data Services","year":2016,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Cloud computing; Computer science; Outsourcing; Computer security; Information privacy; Cloud computing security; Data security; Server; Data breach; Data Protection Act 1998; Internet privacy; Encryption; World Wide Web; Business","score_opus":0.13888327824700977,"score_gpt":0.37455431787297944,"score_spread":0.23567103962596966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410319475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074238167,0.8248186,0.09867321,0.014989413,0.0013552349,0.00026390314,0.00017337405,0.00028030254,0.052022174],"genre_scores_gemma":[0.091846235,0.8492356,0.046517037,0.0027824615,0.0017959585,0.00017060805,0.00039143366,0.00008270557,0.007177975],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99423885,0.0010789734,0.0002943633,0.00038578126,0.0034156379,0.00058640365],"domain_scores_gemma":[0.9949668,0.0023777757,0.00042936733,0.00077289285,0.0012811073,0.00017204175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038749657,0.0007166731,0.0007843,0.0032185793,0.0013844769,0.0034769252,0.0018491546,0.0023691843,0.0036891582],"category_scores_gemma":[0.008814699,0.0004904341,0.0010893833,0.0056066406,0.0019766684,0.009314201,0.0022475543,0.0029944202,0.0022969446],"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":[0.000042147956,0.00008950489,0.0010463579,0.005126494,0.00006222153,0.00020149743,0.00035701544,0.002104806,0.0023778004,0.19129246,0.02783837,0.76946133],"study_design_scores_gemma":[0.000020763764,0.00012481019,0.0019309777,0.0055333143,0.00010329127,0.0026098783,0.0007885547,0.008671729,0.0061119255,0.09067969,0.883359,0.00006596779],"about_ca_topic_score_codex":0.0021976451,"about_ca_topic_score_gemma":0.0016894202,"teacher_disagreement_score":0.0038749657,"about_ca_system_score_codex":0.0024163912,"about_ca_system_score_gemma":0.0047560325,"threshold_uncertainty_score":0.02049303},"labels":[],"label_agreement":null},{"id":"W2468432558","doi":"10.5539/gjhs.v9n3p157","title":"Security Challenges in Healthcare Cloud Computing: A Systematic Review","year":2016,"lang":"en","type":"review","venue":"Global Journal of Health Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Cloud computing; Internet privacy; Health care; Cloud computing security; Information security; Computer security; Computer science; Political science","score_opus":0.10931126118978364,"score_gpt":0.4142722525379137,"score_spread":0.3049609913481301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468432558","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007002634,0.99738604,0.0001721886,0.0004781055,0.00013788558,0.00048429056,0.00024969617,0.0000055354467,0.0003859691],"genre_scores_gemma":[0.00978428,0.98758066,0.000684618,0.00069685245,0.000086940156,0.0008661976,0.0001621532,0.0000040808873,0.00013414094],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9901868,0.00336549,0.003412357,0.0006036969,0.0020446775,0.00038698592],"domain_scores_gemma":[0.9644517,0.025173774,0.0057139383,0.0005052449,0.0037402534,0.00041509565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0090558585,0.0014690184,0.0051571736,0.013751372,0.0011958036,0.0032672286,0.0016872702,0.00233767,0.005194486],"category_scores_gemma":[0.05319466,0.0010148581,0.0070834444,0.014984882,0.0010872233,0.0035674737,0.0021721916,0.0015301665,0.00040534668],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010341972,0.000016390864,0.00059100316,0.9530036,0.0027832428,0.00015922921,0.00032422127,0.00011721236,0.00009120007,0.00044164876,0.0028899566,0.039478965],"study_design_scores_gemma":[0.00007792434,0.000088832385,0.0014598093,0.96676934,0.013470978,0.00036915916,0.00046225986,0.00007345104,0.00008149689,0.00035662894,0.016763462,0.000026699907],"about_ca_topic_score_codex":0.01278891,"about_ca_topic_score_gemma":0.03293517,"teacher_disagreement_score":0.013751372,"about_ca_system_score_codex":0.0064355438,"about_ca_system_score_gemma":0.025751501,"threshold_uncertainty_score":0.04789251},"labels":[],"label_agreement":null},{"id":"W2552523179","doi":"10.1186/s13677-016-0068-6","title":"MDA: message digest-based authentication for mobile cloud computing","year":2016,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":20,"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 Prince Edward Island; Dalhousie University","funders":"","keywords":"Computer science; Cloud computing; Mobile cloud computing; Server; Cloud computing security; Mobile computing; Computer security; Authentication (law); Mobile device; Mutual authentication; Computer network; Cloud testing; Operating system","score_opus":0.015147287253155789,"score_gpt":0.28623355855037136,"score_spread":0.2710862712972156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552523179","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":[0.029148525,0.0011768354,0.9542228,0.0006685155,0.0005386827,0.0009353465,0.00028046028,0.009614714,0.0034139794],"genre_scores_gemma":[0.7876537,0.0006005757,0.20037617,0.0003662744,0.000233108,0.00056538463,0.00071963965,0.00018107264,0.009304028],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982211,0.00051458867,0.00018786994,0.00017470938,0.0006235312,0.00027818838],"domain_scores_gemma":[0.9976966,0.0004333161,0.00035130605,0.00077066856,0.0005489827,0.00019908737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699388,0.00063880166,0.0007200341,0.001134363,0.0010425558,0.0012646869,0.0011122513,0.0010233993,0.0029773957],"category_scores_gemma":[0.0037809717,0.0002882682,0.00046518823,0.00061582186,0.00083543255,0.00217924,0.0019585097,0.0011135559,0.0021847861],"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":[0.004256091,0.00049291726,0.0051395423,0.0008395319,0.00020474297,0.0014244221,0.0008588689,0.028350165,0.24631973,0.12979807,0.038019724,0.5442962],"study_design_scores_gemma":[0.00049356144,0.0018861963,0.0024088263,0.00016684679,0.00012376886,0.0022158073,0.00019824908,0.62183523,0.22499429,0.028691282,0.11671493,0.00027097022],"about_ca_topic_score_codex":0.00090912957,"about_ca_topic_score_gemma":0.000687664,"teacher_disagreement_score":0.0029773957,"about_ca_system_score_codex":0.0010170868,"about_ca_system_score_gemma":0.0014873743,"threshold_uncertainty_score":0.009960413},"labels":[],"label_agreement":null},{"id":"W2560835867","doi":"10.4218/etrij.17.0116.0608","title":"Mobile Payment Based on Transaction Certificate Using Cloud Self-Proxy Server","year":2016,"lang":"en","type":"article","venue":"ETRI Journal","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pratt and Whitney Canada","keywords":"Computer science; Computer security; Security token; Mutual authentication; Database transaction; Certificate; Authentication (law); Mobile payment; Key management; Cloud computing; Authorization certificate; Public key certificate; Computer network; Public-key cryptography; Encryption; Mobile computing; Database; Operating system","score_opus":0.059102904734179194,"score_gpt":0.2845072806049711,"score_spread":0.2254043758707919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560835867","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":[0.15547936,0.0015092328,0.80640143,0.0007472748,0.0006256246,0.0010886792,0.0002681915,0.007420261,0.026459944],"genre_scores_gemma":[0.9270645,0.0005401593,0.0627086,0.00013635634,0.00011382399,0.00016131447,0.00033978646,0.000116381314,0.008819071],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788874,0.00045751283,0.00028360423,0.0003297619,0.000637809,0.00040258828],"domain_scores_gemma":[0.9983525,0.00018380713,0.00018286247,0.00057504483,0.0004870323,0.0002187949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009789995,0.0004478532,0.0008001126,0.0009377764,0.0012891344,0.0025800706,0.0017588658,0.00088565674,0.0033270228],"category_scores_gemma":[0.0019944876,0.0003010985,0.0006814136,0.0013023807,0.0006935069,0.00403293,0.0023933095,0.000890472,0.0015236528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036347776,0.00089306646,0.016046235,0.00094663433,0.00022898658,0.005727794,0.0013965642,0.024896843,0.12759683,0.3119842,0.03260894,0.47403914],"study_design_scores_gemma":[0.0008361589,0.0011414923,0.00432554,0.00014346401,0.0002973894,0.0071772076,0.00043024204,0.6946326,0.14746551,0.033829648,0.1092906,0.00043022074],"about_ca_topic_score_codex":0.0016554657,"about_ca_topic_score_gemma":0.0009302496,"teacher_disagreement_score":0.0033270228,"about_ca_system_score_codex":0.00087898714,"about_ca_system_score_gemma":0.0018147988,"threshold_uncertainty_score":0.011129975},"labels":[],"label_agreement":null},{"id":"W2561509029","doi":"10.26443/el.v36i2.330","title":"Resources on the Net: Catching Up with Technological Trends in Academic Libraries – Cloud Computing Services, Big Data and Digital Curation","year":2017,"lang":"en","type":"article","venue":"Education Libraries","topic":"Cloud Data Security Solutions","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":"Concordia University","funders":"","keywords":"Listing (finance); Terminology; Cloud computing; Column (typography); Point (geometry); Computer science; World Wide Web; Big data; Data science; Perception; Knowledge management; Business; Telecommunications; Psychology","score_opus":0.06381758816577292,"score_gpt":0.29385431066837925,"score_spread":0.23003672250260632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561509029","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009275145,0.020615838,0.0062505757,0.5648638,0.032465387,0.000076738776,0.00043523044,0.0014901471,0.36452708],"genre_scores_gemma":[0.10568692,0.05178164,0.021291235,0.20449176,0.023063855,0.00015848942,0.0011505281,0.0031789236,0.58919656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974596,0.00075023796,0.0001527204,0.0001731475,0.0010795495,0.00038485994],"domain_scores_gemma":[0.99460655,0.0021160848,0.0004651211,0.00036752425,0.0011269624,0.0013177304],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0027977803,0.00044341563,0.00037149325,0.0026009132,0.009171135,0.030983506,0.0012494761,0.003026147,0.026973223],"category_scores_gemma":[0.0073755304,0.00034973788,0.00040577818,0.0059975805,0.005679309,0.033608504,0.0058695218,0.005141909,0.011873584],"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":[0.00001943256,0.0000215888,0.00055094634,0.00021284733,0.0000057549955,0.00016718598,0.005363568,0.00006904746,0.0003888084,0.04745744,0.8517067,0.0940367],"study_design_scores_gemma":[0.0000016261853,0.0000061620667,0.00038268318,0.00020682033,0.0000033282492,0.00010491545,0.0058495104,0.00005316557,0.00018861509,0.004696389,0.9884946,0.000012145054],"about_ca_topic_score_codex":0.008197201,"about_ca_topic_score_gemma":0.038736288,"teacher_disagreement_score":0.9690165,"about_ca_system_score_codex":0.0041925097,"about_ca_system_score_gemma":0.0061319894,"threshold_uncertainty_score":0.0902344},"labels":[],"label_agreement":null},{"id":"W2572129285","doi":"10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0147","title":"A Combined Solution for Conjunctive Keyword Search, Phrase Search and Auditing for Encrypted Cloud Storage","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cloud computing; Cloud storage; Encryption; Data deduplication; Overhead (engineering); Phrase search; Server; Scheme (mathematics); Database; Computer security; Information retrieval; Search engine; Computer network; Web search query; Operating system","score_opus":0.03816005768091726,"score_gpt":0.2882457831646332,"score_spread":0.25008572548371594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572129285","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":[0.031289175,0.00067912554,0.9581468,0.0006011353,0.00011447026,0.00037974448,0.0002785013,0.0025253445,0.0059856507],"genre_scores_gemma":[0.21588275,0.000397319,0.77425015,0.00021806061,0.00008323816,0.00019794484,0.00038903914,0.00014102002,0.008440457],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986028,0.0002322742,0.0001588453,0.00018439737,0.0006080038,0.00021381292],"domain_scores_gemma":[0.9987143,0.00029519893,0.0000978767,0.00047009878,0.0003539905,0.000068620524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081197696,0.0005561477,0.00101758,0.0011490701,0.00093273557,0.0014257317,0.0018842348,0.0012779922,0.0051273713],"category_scores_gemma":[0.0024634933,0.00039860673,0.00084895635,0.0021114515,0.0005720082,0.0036261948,0.0023784507,0.0009050795,0.0022267755],"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":[0.001367249,0.0006905376,0.0017223277,0.00068494823,0.00018572793,0.0012360691,0.000676147,0.041736465,0.08448639,0.073797,0.02376029,0.76965696],"study_design_scores_gemma":[0.00028839955,0.00068876945,0.0008029682,0.0000810954,0.00020210599,0.0033282407,0.0005771367,0.82655144,0.07420908,0.05881329,0.034332495,0.00012492649],"about_ca_topic_score_codex":0.0019836635,"about_ca_topic_score_gemma":0.0032103076,"teacher_disagreement_score":0.0051273713,"about_ca_system_score_codex":0.00056691543,"about_ca_system_score_gemma":0.0024061336,"threshold_uncertainty_score":0.017152786},"labels":[],"label_agreement":null},{"id":"W2587148024","doi":"10.1145/3010089.3016029","title":"Towards decentralized data storage in general cloud platform for meta-products","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":29,"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":"Cloud computing; Computer science; Cloud storage; Distributed computing; Database; Operating system","score_opus":0.14732814000358843,"score_gpt":0.3255727116623733,"score_spread":0.17824457165878485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587148024","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":[0.10858064,0.0009077052,0.87312156,0.0022534372,0.00027464042,0.00071220205,0.00048257975,0.0019953249,0.011671923],"genre_scores_gemma":[0.77814674,0.00055960123,0.20808777,0.00030176205,0.00012286115,0.00037819205,0.00064557797,0.00014028014,0.011617256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786645,0.00042323678,0.0001906781,0.00044871468,0.0006857574,0.00038515206],"domain_scores_gemma":[0.99554896,0.00046524708,0.0003017134,0.002487339,0.0008642955,0.0003324172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020043945,0.00039111657,0.0008404584,0.0008661449,0.002449798,0.003576771,0.0026891832,0.0016279636,0.003949087],"category_scores_gemma":[0.0031059845,0.00050494325,0.0008423678,0.0015534533,0.0014083218,0.0073930905,0.0062756035,0.0015649585,0.0016140015],"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":[0.0016433158,0.00066917,0.00794717,0.00071361655,0.00017828184,0.0023222563,0.0016180399,0.11336872,0.09906629,0.5324852,0.025717542,0.2142704],"study_design_scores_gemma":[0.00025993056,0.00032422697,0.0012551699,0.00010687855,0.00007423763,0.00085111795,0.0005313862,0.74231136,0.05012776,0.14577688,0.058275227,0.00010588268],"about_ca_topic_score_codex":0.0041033477,"about_ca_topic_score_gemma":0.0043299906,"teacher_disagreement_score":0.0041033477,"about_ca_system_score_codex":0.0018909917,"about_ca_system_score_gemma":0.004274477,"threshold_uncertainty_score":0.013720155},"labels":[],"label_agreement":null},{"id":"W2588638806","doi":"10.1007/s12243-017-0568-5","title":"IT governance and risk mitigation approach for private cloud adoption: case study of provincial healthcare provider","year":2017,"lang":"en","type":"article","venue":"Annals of Telecommunications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Business; Confidentiality; Health care; Corporate governance; Cloud computing; COBIT; Reputation; Risk analysis (engineering); Risk management; Risk assessment; Computer security; Finance; Computer science; Economics; Political science","score_opus":0.09944086755943055,"score_gpt":0.3664694530913948,"score_spread":0.26702858553196424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588638806","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":[0.9909208,0.0000342167,0.0012698161,0.0010093625,0.0000032058188,0.00004535848,0.000023103281,0.000012627899,0.0066815964],"genre_scores_gemma":[0.99857116,0.000027469448,0.0005575295,0.00003471603,0.0000014516725,0.0000060286407,0.0000110572155,0.000002480152,0.0007881648],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99788326,0.0008082818,0.000054667904,0.00010580229,0.00038169936,0.00076618744],"domain_scores_gemma":[0.99495536,0.001988008,0.0008081245,0.00036538515,0.00095904985,0.00092410756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022217594,0.00015942458,0.00016434805,0.0007193763,0.0036552919,0.0020773287,0.0009767323,0.0010994194,0.0017270722],"category_scores_gemma":[0.0059938887,0.00014620498,0.00033411608,0.0013374399,0.0013947091,0.001023079,0.0015299844,0.0012491577,0.00011999177],"study_design_candidate":"qualitative","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":[0.0004360695,0.003203365,0.6700802,0.00021008222,0.00013692764,0.016148368,0.09834668,0.023380846,0.008322704,0.06450228,0.0074074613,0.107824914],"study_design_scores_gemma":[0.00012550018,0.0009780235,0.4389531,0.00025735598,0.00018591678,0.0035347135,0.38591686,0.1180939,0.0038418989,0.012542141,0.035459433,0.00011118074],"about_ca_topic_score_codex":0.26002488,"about_ca_topic_score_gemma":0.38349584,"teacher_disagreement_score":0.26002488,"about_ca_system_score_codex":0.009641699,"about_ca_system_score_gemma":0.016098613,"threshold_uncertainty_score":0.5170227},"labels":[],"label_agreement":null},{"id":"W2610118356","doi":"10.3390/jrfm10020010","title":"A Risk Management Framework for Cloud Migration Decision Support","year":2017,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Austrian Science Fund","keywords":"Cloud computing; Business; Risk management; Decision support system; Process management; Risk analysis (engineering); Computer science; Data mining","score_opus":0.012986837009022093,"score_gpt":0.27252397284355123,"score_spread":0.25953713583452914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610118356","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":[0.004973458,0.00018514085,0.988856,0.0011303669,0.000046108235,0.00027642498,0.00015987772,0.0006945699,0.0036780662],"genre_scores_gemma":[0.13902347,0.00026314787,0.85848814,0.00016288256,0.000060925046,0.00038849146,0.00034420713,0.000045342975,0.0012233861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951448,0.0015773278,0.0006517153,0.00036021046,0.0019125917,0.00035337443],"domain_scores_gemma":[0.9955219,0.0017311011,0.0005493157,0.00022233957,0.0016376916,0.00033760033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0086599365,0.0014831567,0.0011576391,0.005135117,0.0018578016,0.005985046,0.0021538313,0.00178773,0.002788075],"category_scores_gemma":[0.010136256,0.00059774535,0.0021414775,0.002635741,0.0011521429,0.0038954774,0.003097549,0.0025120226,0.00055197807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012987385,0.0005364713,0.0046697836,0.00067680865,0.00038476972,0.0006421857,0.0020382921,0.38201407,0.004705629,0.36279833,0.00969083,0.23171285],"study_design_scores_gemma":[0.000035460183,0.000113644346,0.00076894555,0.00036290716,0.00012259358,0.00019742656,0.00070338004,0.83562285,0.0013014568,0.14760594,0.013084901,0.000080480924],"about_ca_topic_score_codex":0.01644918,"about_ca_topic_score_gemma":0.014244651,"teacher_disagreement_score":0.01644918,"about_ca_system_score_codex":0.0039403653,"about_ca_system_score_gemma":0.009225443,"threshold_uncertainty_score":0.04579872},"labels":[],"label_agreement":null},{"id":"W2613035487","doi":"10.14722/ndss.2017.23365","title":"TenantGuard: Scalable Runtime Verification of Cloud-Wide VM-Level Network Isolation","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalability; Cloud computing; Isolation (microbiology); Runtime verification; Operating system; Distributed computing; Formal verification; Programming language","score_opus":0.03693625370883548,"score_gpt":0.2687105936528483,"score_spread":0.2317743399440128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613035487","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":[0.1207124,0.0009617143,0.6659261,0.0009531588,0.00086228445,0.00069000747,0.0015640102,0.19614007,0.012190267],"genre_scores_gemma":[0.8581002,0.00018876336,0.13112335,0.00042514148,0.0001104703,0.00019399701,0.0024053068,0.004102707,0.0033501368],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99391854,0.0014337063,0.00039403542,0.0012754092,0.0022245185,0.0007536595],"domain_scores_gemma":[0.9920076,0.0025565464,0.00070676685,0.0033471107,0.000982775,0.00039905886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003943005,0.0016351856,0.00094443286,0.0008949434,0.0009782475,0.0022383565,0.0035724214,0.00090344547,0.0073315427],"category_scores_gemma":[0.013923182,0.0009792952,0.00142579,0.0003964724,0.0019942436,0.004621178,0.004831526,0.0022324095,0.0019259526],"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":[0.0064406963,0.00092538,0.03759612,0.0017917843,0.0011180335,0.003623306,0.0013685545,0.27082783,0.16024883,0.08168489,0.09419136,0.34018314],"study_design_scores_gemma":[0.00025334605,0.0003264894,0.0018279034,0.000076911165,0.0000881779,0.00031813097,0.00013996368,0.90576077,0.0631822,0.015938705,0.012013004,0.00007433436],"about_ca_topic_score_codex":0.004567889,"about_ca_topic_score_gemma":0.0053266496,"teacher_disagreement_score":0.0073315427,"about_ca_system_score_codex":0.0011602178,"about_ca_system_score_gemma":0.0033695481,"threshold_uncertainty_score":0.024526477},"labels":[],"label_agreement":null},{"id":"W2614065879","doi":"10.1007/978-3-319-58077-7_43","title":"Cloud Computing Security and Privacy: An Empirical Study","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cloud computing; Computer security; Information privacy; Cloud computing security; Internet privacy; Data science; Operating system","score_opus":0.03843791683887421,"score_gpt":0.3225816056405453,"score_spread":0.28414368880167107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614065879","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":[0.9928369,0.00092863565,0.0005420981,0.00096437713,0.000012133663,0.000050990206,0.00016262523,0.0000035268436,0.0044987053],"genre_scores_gemma":[0.9980844,0.00058727723,0.00024974783,0.00014767141,0.000018181352,0.00003808572,0.00014433094,0.0000064463497,0.0007238267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99366224,0.004035552,0.00035154613,0.0004092667,0.0010566725,0.00048462377],"domain_scores_gemma":[0.7409394,0.22508116,0.018921558,0.004840146,0.005755574,0.0044622053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010249739,0.00031522824,0.00045119642,0.0016398169,0.0020067797,0.0028487188,0.0011982779,0.0013539869,0.01005448],"category_scores_gemma":[0.06875211,0.0006750643,0.00089900475,0.0028216909,0.0038784458,0.005390296,0.0022336876,0.0042503304,0.00095912255],"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":[0.00076343503,0.0041261837,0.9625893,0.00023701797,0.00020017113,0.0003121452,0.006712529,0.00035305237,0.00014907165,0.007222356,0.0018387804,0.015495924],"study_design_scores_gemma":[0.000114016206,0.0014577665,0.92790407,0.00046764006,0.00040503676,0.002256506,0.05431407,0.0034000196,0.00045416632,0.00490227,0.004269915,0.000054482935],"about_ca_topic_score_codex":0.004618529,"about_ca_topic_score_gemma":0.005201274,"teacher_disagreement_score":0.010249739,"about_ca_system_score_codex":0.0018367618,"about_ca_system_score_gemma":0.0019708225,"threshold_uncertainty_score":0.05420643},"labels":[],"label_agreement":null},{"id":"W2729546866","doi":"10.1016/j.future.2017.06.021","title":"Privacy-preserving personal data operation on mobile cloud—Chances and challenges over advanced persistent threat","year":2017,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":41,"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 New Brunswick","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Computer security; Cloud computing; Internet privacy; Mobile device; Cryptography; Disadvantage; Data Protection Act 1998; World Wide Web","score_opus":0.09570197978644741,"score_gpt":0.29841299938001287,"score_spread":0.20271101959356547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729546866","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":[0.35748267,0.009855986,0.5292589,0.059249412,0.0016665212,0.00021192471,0.00051180925,0.00091758947,0.0408451],"genre_scores_gemma":[0.9873174,0.0011534978,0.008895662,0.0006012774,0.00027746378,0.00001845064,0.0000624479,0.000026726584,0.0016471733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959793,0.0009815207,0.00015410029,0.00047429913,0.0012689399,0.0011418065],"domain_scores_gemma":[0.9882166,0.0037437007,0.0010801556,0.0045913886,0.0016562638,0.0007119821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004352444,0.00041625314,0.0008573475,0.0005487619,0.003043879,0.0059534647,0.0018667697,0.0024622187,0.0019443543],"category_scores_gemma":[0.011918155,0.0003028619,0.00058877876,0.0011146028,0.0031417485,0.016499368,0.004813881,0.004267821,0.00068851456],"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":[0.0009906165,0.00025441212,0.020459684,0.0003645759,0.00016090315,0.0023271556,0.0017451113,0.03372808,0.017422618,0.68914473,0.024366522,0.20903566],"study_design_scores_gemma":[0.000045427103,0.0002493673,0.0029216348,0.00015605676,0.000081744765,0.002844597,0.0038046658,0.36612242,0.018021133,0.5662615,0.03939527,0.00009627517],"about_ca_topic_score_codex":0.0014530573,"about_ca_topic_score_gemma":0.0010625523,"teacher_disagreement_score":0.0059534647,"about_ca_system_score_codex":0.0012940876,"about_ca_system_score_gemma":0.0018652385,"threshold_uncertainty_score":0.02301824},"labels":[],"label_agreement":null},{"id":"W2731419512","doi":"10.1109/tbdata.2017.2721444","title":"Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Big Data","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Data deduplication; Computer science; Cloud computing; Big data; Homomorphic encryption; Encryption; Cloud storage; Computer security; Information privacy; Domain (mathematical analysis); Data mining; Operating system","score_opus":0.16154579015690074,"score_gpt":0.3454990075471699,"score_spread":0.18395321739026915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731419512","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":[0.20699951,0.0013237421,0.785416,0.00075373787,0.00017391576,0.00033857496,0.00039453685,0.0011115085,0.0034884375],"genre_scores_gemma":[0.8895173,0.0003066808,0.10835647,0.00017087192,0.00004092448,0.00006965965,0.0002295709,0.000027582088,0.001280816],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985084,0.00030964706,0.00017041399,0.00032871412,0.00043971834,0.00024304382],"domain_scores_gemma":[0.99471587,0.0009908589,0.00050031545,0.0027965938,0.00078775926,0.00020862953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024698256,0.00037816787,0.00071443775,0.00057983113,0.0011966262,0.0016394007,0.001415607,0.00072979054,0.0007309957],"category_scores_gemma":[0.004557864,0.00033418427,0.0005488979,0.001250316,0.00079479854,0.0030295684,0.0033463417,0.0008577761,0.00031330445],"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":[0.0025088282,0.00086884556,0.018144751,0.00091719034,0.00039742966,0.001776812,0.0013967348,0.24621092,0.17838521,0.10332015,0.017200567,0.42887264],"study_design_scores_gemma":[0.00012754205,0.00037330828,0.0026791797,0.000045962413,0.000091318034,0.0020415762,0.0006583162,0.79794466,0.15228686,0.032476094,0.011181422,0.000093746414],"about_ca_topic_score_codex":0.00072732434,"about_ca_topic_score_gemma":0.0009689494,"teacher_disagreement_score":0.0024698256,"about_ca_system_score_codex":0.0006246727,"about_ca_system_score_gemma":0.001814253,"threshold_uncertainty_score":0.013061821},"labels":[],"label_agreement":null},{"id":"W2738810779","doi":"10.23919/inm.2017.7987294","title":"A remote attestation infrastructure for verifying the application of software updates","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":true,"ca_institutions":"Western University","funders":"","keywords":"Cloud computing; Computer science; Computer security; Server; Overhead (engineering); Software as a service; Software; Revenue; Computer network; Software development; Operating system; Business; Finance","score_opus":0.02008295500712497,"score_gpt":0.2971528010580021,"score_spread":0.27706984605087714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738810779","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":[0.038080428,0.00048120404,0.8832519,0.000682143,0.00015745379,0.00093854393,0.0002255856,0.06978694,0.006395897],"genre_scores_gemma":[0.7008493,0.00022502821,0.29268646,0.0002699722,0.0001250264,0.00034948174,0.00050365267,0.0011982936,0.003792898],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98969686,0.002358423,0.00082635373,0.0014310454,0.004508377,0.0011789574],"domain_scores_gemma":[0.97012067,0.005541813,0.0037950885,0.014690702,0.0046984544,0.001153385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067843227,0.0010391194,0.0013284796,0.002736203,0.0020698612,0.0031132852,0.0031738563,0.0022928023,0.0055248328],"category_scores_gemma":[0.023740808,0.0011436456,0.0011650665,0.00127677,0.0024046116,0.0077718203,0.004495391,0.004839844,0.0024646115],"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":[0.0020811507,0.0024244394,0.028475149,0.0009561641,0.00044101992,0.0018574541,0.0023177338,0.08469468,0.1436644,0.16270912,0.03154075,0.5388379],"study_design_scores_gemma":[0.00018289693,0.00089304335,0.007069866,0.00017938094,0.00018971607,0.0011171498,0.00019511729,0.7986992,0.13280827,0.017719273,0.040624097,0.00032210787],"about_ca_topic_score_codex":0.0074648187,"about_ca_topic_score_gemma":0.00495392,"teacher_disagreement_score":0.0074648187,"about_ca_system_score_codex":0.0029965148,"about_ca_system_score_gemma":0.0057374532,"threshold_uncertainty_score":0.035879314},"labels":[],"label_agreement":null},{"id":"W2741764255","doi":"10.5220/0006434903510358","title":"Adding Privacy Protection to Distributed Software Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer security; Privacy protection; Information privacy; Privacy software; Software; Operating system","score_opus":0.045360196819568384,"score_gpt":0.2834435889901639,"score_spread":0.23808339217059554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741764255","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":[0.04399067,0.0013223817,0.91182065,0.0150277885,0.00077304506,0.0002603097,0.00018023424,0.0030695696,0.023555428],"genre_scores_gemma":[0.799541,0.0010320889,0.1846668,0.00333621,0.0009281189,0.00017865784,0.00024220538,0.00078026124,0.009294604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9769628,0.007937936,0.0016699298,0.0024423322,0.0078535,0.0031334993],"domain_scores_gemma":[0.9088274,0.018697675,0.002361559,0.06279214,0.0056071696,0.0017140235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013993394,0.0010298014,0.0015322099,0.0013489878,0.003317855,0.008739574,0.00457165,0.0047159,0.005616883],"category_scores_gemma":[0.045887314,0.0015276574,0.0026148679,0.0016086156,0.0070492984,0.027527504,0.016131168,0.014405661,0.0020713324],"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":[0.0006611177,0.00037312674,0.0038053466,0.0005637757,0.00021798523,0.0006745154,0.0023487988,0.02337921,0.015585857,0.76971465,0.0132357925,0.16943991],"study_design_scores_gemma":[0.00015795646,0.00021700277,0.0006040556,0.0002444024,0.00027755604,0.0006705085,0.00039595648,0.098760895,0.022473646,0.8107937,0.06531222,0.00009205421],"about_ca_topic_score_codex":0.0014243767,"about_ca_topic_score_gemma":0.0011291972,"teacher_disagreement_score":0.013993394,"about_ca_system_score_codex":0.0023368963,"about_ca_system_score_gemma":0.0041268636,"threshold_uncertainty_score":0.07400507},"labels":[],"label_agreement":null},{"id":"W2752188587","doi":"10.1007/s10502-017-9280-5","title":"Using the cloud for records storage: issues of trust","year":2017,"lang":"en","type":"article","venue":"Archives and Museum Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cloud computing; Context (archaeology); Cloud storage; Sustainability; Business; Service (business); Process (computing); Internet privacy; Public relations; Knowledge management; Computer science; Marketing; Political science; Geography","score_opus":0.05058635520448115,"score_gpt":0.3179825973856125,"score_spread":0.2673962421811314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752188587","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.276887,0.0079731615,0.07447801,0.42478764,0.0017197524,0.0004776926,0.0002605161,0.00029345232,0.21312284],"genre_scores_gemma":[0.9805808,0.0019864617,0.004367606,0.007486762,0.00018825452,0.00009601574,0.000037289523,0.00009112096,0.005165683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.90045017,0.059823856,0.0077202027,0.0037904703,0.02044006,0.0077751703],"domain_scores_gemma":[0.7217443,0.16500312,0.02817864,0.02497054,0.039883863,0.020219464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052106813,0.00029307706,0.0007919921,0.0016850446,0.013085488,0.025175747,0.0021818983,0.004107089,0.006771627],"category_scores_gemma":[0.17575459,0.00068708364,0.0006446556,0.0025958414,0.017219998,0.024433488,0.010466957,0.0071240016,0.0015906625],"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":[0.00032624157,0.00022021466,0.037947524,0.0012795789,0.00024724993,0.0033816344,0.31087485,0.001305679,0.002163673,0.3860915,0.06070235,0.19545946],"study_design_scores_gemma":[0.0000691872,0.00028828904,0.017748049,0.0034258314,0.00010219677,0.0032336996,0.29948798,0.004073703,0.0021294975,0.18165344,0.4874325,0.0003555752],"about_ca_topic_score_codex":0.027265802,"about_ca_topic_score_gemma":0.0145257,"teacher_disagreement_score":0.052106813,"about_ca_system_score_codex":0.0130215995,"about_ca_system_score_gemma":0.023973903,"threshold_uncertainty_score":0.27557045},"labels":[],"label_agreement":null},{"id":"W2755672549","doi":"10.1109/ieee.edge.2017.22","title":"Comparing Pacemaker with OpenSAF for Availability Management in the Cloud","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Overhead (engineering); Popularity; Middleware (distributed applications); High availability; Distributed computing; Cloud testing; Service (business); Computer network; Computer security; Cloud computing security; Operating system; Business","score_opus":0.07593274914603104,"score_gpt":0.31067028571740596,"score_spread":0.23473753657137492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755672549","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":[0.9603949,0.0017056376,0.022423493,0.00043426652,0.00030697303,0.0001738024,0.00045908583,0.004931568,0.009170262],"genre_scores_gemma":[0.98661196,0.00026303096,0.011782404,0.00007189544,0.00005018938,0.0000421863,0.00041205657,0.00022389692,0.000542263],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965725,0.0009613973,0.00028523657,0.00046927767,0.0011475976,0.0005640299],"domain_scores_gemma":[0.98791915,0.0070639653,0.0008116045,0.0016376023,0.0016524566,0.00091535714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035281428,0.0006227737,0.0006472379,0.0014798851,0.00059466413,0.0012012733,0.0012102685,0.00063699967,0.0020168272],"category_scores_gemma":[0.0126200225,0.0002050769,0.0003830624,0.0012309022,0.0005865188,0.0026134392,0.00092344056,0.0009272834,0.00031028583],"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":[0.023523519,0.0037684452,0.055955056,0.0028124237,0.0006419332,0.0011049985,0.0017554791,0.22705434,0.14619766,0.016941704,0.020399123,0.4998454],"study_design_scores_gemma":[0.00079925644,0.010450109,0.07485191,0.0001400519,0.0004110411,0.0011525196,0.0020358611,0.795266,0.09015961,0.007243637,0.017243827,0.00024619524],"about_ca_topic_score_codex":0.0032654172,"about_ca_topic_score_gemma":0.0016652524,"teacher_disagreement_score":0.0035281428,"about_ca_system_score_codex":0.0011040653,"about_ca_system_score_gemma":0.00089933164,"threshold_uncertainty_score":0.018658876},"labels":[],"label_agreement":null},{"id":"W2767714254","doi":"10.3390/jrfm10040020","title":"A Risk Management Approach for a Sustainable Cloud Migration","year":2017,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Risk analysis (engineering); Context (archaeology); Sustainability; Risk management; Dimension (graph theory); Computer science; Environmental economics; Business; Process management; Economics","score_opus":0.01027913690936636,"score_gpt":0.23582165605002983,"score_spread":0.22554251914066348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767714254","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":[0.022049371,0.00042868286,0.9442572,0.005990792,0.0000848884,0.0005205753,0.00007612744,0.00015890686,0.026433462],"genre_scores_gemma":[0.5486591,0.0007574661,0.44054198,0.000514029,0.0001192998,0.00071986247,0.00010400038,0.000043530046,0.008540808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946353,0.0019797874,0.00040923833,0.0005597104,0.0020965114,0.00031947775],"domain_scores_gemma":[0.9942356,0.002569491,0.00093276886,0.00032719137,0.0016085253,0.00032644396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069947448,0.0012053135,0.0005415776,0.0029371532,0.0022889245,0.0051222784,0.0020792335,0.0021746857,0.0025045315],"category_scores_gemma":[0.0072166007,0.00050245476,0.0014606578,0.0012944476,0.0028736892,0.0037736848,0.004472098,0.003072976,0.00033305102],"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":[0.00006693155,0.0003660268,0.0042426116,0.00045167448,0.0001524392,0.00081423536,0.004293545,0.20226672,0.0055280784,0.6898498,0.0038102586,0.088157676],"study_design_scores_gemma":[0.00004039744,0.00019278405,0.0018566278,0.0004107278,0.000106192485,0.0005118034,0.004445633,0.48088494,0.0029431893,0.48089874,0.0275727,0.0001362244],"about_ca_topic_score_codex":0.004355377,"about_ca_topic_score_gemma":0.004229123,"teacher_disagreement_score":0.0069947448,"about_ca_system_score_codex":0.0042750365,"about_ca_system_score_gemma":0.007021739,"threshold_uncertainty_score":0.036992133},"labels":[],"label_agreement":null},{"id":"W2789061370","doi":"10.5539/cis.v11n1p90","title":"Enhancing Big Data Auditing","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Audit; Big data; Scheme (mathematics); Retrievability; Data integrity; Possession (linguistics); Database; Data mining; Information retrieval; Accounting","score_opus":0.05119306095393634,"score_gpt":0.28660205571895053,"score_spread":0.2354089947650142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789061370","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":[0.07751606,0.0029110191,0.89845985,0.002453656,0.00040073512,0.00060368096,0.00037007936,0.002151868,0.015133001],"genre_scores_gemma":[0.81295913,0.0015311977,0.18136205,0.0003395151,0.00017168932,0.00019626599,0.00027403646,0.00012710446,0.0030389416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9841813,0.007235395,0.001101898,0.0013815797,0.0047934884,0.0013063167],"domain_scores_gemma":[0.9440327,0.018938584,0.004305985,0.026589377,0.005090212,0.0010430899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011993019,0.00066466775,0.0009592939,0.0016668537,0.0013067325,0.003949151,0.0027135953,0.0015725003,0.0022437945],"category_scores_gemma":[0.036351018,0.00053152564,0.0008658873,0.0021871827,0.0021366358,0.011484935,0.006488261,0.002384871,0.0005775988],"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":[0.0014320386,0.0005256059,0.01057282,0.0018611652,0.00018103373,0.00045240592,0.0013003917,0.059645783,0.025867341,0.4507815,0.00700196,0.440378],"study_design_scores_gemma":[0.00016680385,0.0007499609,0.0042996253,0.0006917386,0.0001944489,0.002296463,0.0010604322,0.48410526,0.08690812,0.3633389,0.05604312,0.00014502762],"about_ca_topic_score_codex":0.0006989997,"about_ca_topic_score_gemma":0.0005374682,"teacher_disagreement_score":0.011993019,"about_ca_system_score_codex":0.001471755,"about_ca_system_score_gemma":0.0036697935,"threshold_uncertainty_score":0.0634259},"labels":[],"label_agreement":null},{"id":"W2800439477","doi":"10.1109/tii.2018.2832251","title":"HealthDep: An Efficient and Secure Deduplication Scheme for Cloud-Assisted eHealth Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":216,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"National Key Research and Development Program of China; China Scholarship Council","keywords":"Cloud computing; eHealth; Data deduplication; Computer science; Confidentiality; Encryption; Scheme (mathematics); Computer security; Cloud storage; Server; Security analysis; Database; Computer network; Health care; Operating system; Mathematics","score_opus":0.07556899879148138,"score_gpt":0.31468462747423437,"score_spread":0.239115628682753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800439477","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":[0.09013767,0.0033338284,0.89506364,0.0011498411,0.00052653556,0.0011852589,0.00097401516,0.0022130872,0.0054161134],"genre_scores_gemma":[0.76980084,0.00093866827,0.22373529,0.00037078216,0.00021474928,0.00022684512,0.0009457768,0.00008101149,0.0036861491],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790037,0.00050674076,0.0002901078,0.00025514516,0.0008245933,0.00022299791],"domain_scores_gemma":[0.9953786,0.0007619871,0.00041317847,0.002461177,0.0008233233,0.00016169008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023782311,0.00048282466,0.0005979192,0.00086745265,0.0011058715,0.0012622061,0.0016512901,0.00066718,0.0015992702],"category_scores_gemma":[0.0041963,0.00029265796,0.0005019801,0.0010027508,0.0006785202,0.0031664665,0.0027442924,0.0009318774,0.0006328307],"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":[0.0027481199,0.0005552199,0.009728447,0.0011390351,0.00036971405,0.0013199664,0.001028618,0.078260615,0.108396105,0.09919931,0.029907662,0.66734725],"study_design_scores_gemma":[0.000504549,0.0012205633,0.0068081515,0.00017024348,0.00020076674,0.0043136817,0.00061816396,0.7082553,0.1476804,0.04543246,0.08454067,0.000255059],"about_ca_topic_score_codex":0.00070333335,"about_ca_topic_score_gemma":0.000656736,"teacher_disagreement_score":0.0023782311,"about_ca_system_score_codex":0.0008478081,"about_ca_system_score_gemma":0.0016358342,"threshold_uncertainty_score":0.0125774145},"labels":[],"label_agreement":null},{"id":"W2802882176","doi":"10.4018/ijmstr.2017100101","title":"Data Security and Privacy Assurance Considerations in Cloud Computing for Health Insurance Providers","year":2017,"lang":"en","type":"article","venue":"International Journal of Monitoring and Surveillance Technologies Research","topic":"Cloud Data Security Solutions","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":"Concordia University of Edmonton","funders":"","keywords":"Cloud computing; Computer security; Vendor; Business; Data breach; Cloud computing security; Health care; Internet privacy; Information privacy; Computer science; Marketing","score_opus":0.15060928970538118,"score_gpt":0.4505415027211259,"score_spread":0.29993221301574474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802882176","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":[0.2398332,0.007173432,0.4279145,0.1710962,0.0007889225,0.0012463,0.00039932766,0.0005569927,0.15099116],"genre_scores_gemma":[0.9211089,0.0011903725,0.071466826,0.002673761,0.00027098643,0.00012897985,0.00009209049,0.00005680396,0.0030113282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9839697,0.006938154,0.000843007,0.0008585065,0.005432514,0.001958066],"domain_scores_gemma":[0.9839664,0.00733749,0.0014415589,0.0021808238,0.0035877132,0.001485958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0172418,0.00030308924,0.00035323921,0.0012715207,0.0045543234,0.011975763,0.0011677403,0.0026174383,0.0017487679],"category_scores_gemma":[0.021018874,0.00040659518,0.00066185766,0.0015603253,0.0042552557,0.006861955,0.0042290264,0.003635876,0.00029682321],"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":[0.00011967979,0.0000941004,0.0075812996,0.00017391036,0.00002572915,0.0006098104,0.002151717,0.008645347,0.0042725415,0.9254757,0.008965271,0.041884918],"study_design_scores_gemma":[0.00007738462,0.00032046143,0.012115386,0.00122377,0.00012320132,0.0016580416,0.011393002,0.18702362,0.016563395,0.59900784,0.1703253,0.0001686267],"about_ca_topic_score_codex":0.011647987,"about_ca_topic_score_gemma":0.011534102,"teacher_disagreement_score":0.0172418,"about_ca_system_score_codex":0.0050910194,"about_ca_system_score_gemma":0.010369884,"threshold_uncertainty_score":0.0911845},"labels":[],"label_agreement":null},{"id":"W2805619843","doi":"10.5555/3213200.3213204","title":"A security-as-a-service solution for applications in cloud computing environment","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","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":"Royal Bank of Canada","funders":"","keywords":"Cloud computing; Cloud computing security; Computer science; Computer security; Cloud testing; Virtualization; Operating system","score_opus":0.02611941573410532,"score_gpt":0.27664380284400386,"score_spread":0.25052438710989855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805619843","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":[0.046642277,0.004286133,0.8428324,0.011433123,0.0014371137,0.0015845202,0.00032143225,0.009099998,0.082362995],"genre_scores_gemma":[0.49227285,0.0038129587,0.4555095,0.0024989124,0.0004991837,0.00055757957,0.00072939036,0.0004214708,0.04369809],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872595,0.00020755408,0.000088669985,0.0001414748,0.0006045219,0.00023176313],"domain_scores_gemma":[0.99920326,0.000053309737,0.00007292917,0.00014652623,0.0003653417,0.00015868184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009326573,0.00049269776,0.00042457427,0.0007919193,0.0019860286,0.002879776,0.0013058964,0.0016891854,0.002903198],"category_scores_gemma":[0.0015065366,0.00028103424,0.0006658819,0.00090265006,0.0005729929,0.002676046,0.0020975173,0.0022074517,0.0024566385],"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":[0.00034557705,0.00063707086,0.0035648718,0.0007810027,0.00017656368,0.0018232095,0.0011517016,0.0149219725,0.094938226,0.30662698,0.10876436,0.46626848],"study_design_scores_gemma":[0.00009329382,0.0005902641,0.0029451996,0.00035558004,0.00012949143,0.0025189226,0.00086245005,0.28945056,0.040333252,0.060804635,0.6017859,0.00013048614],"about_ca_topic_score_codex":0.0022216125,"about_ca_topic_score_gemma":0.0025445882,"teacher_disagreement_score":0.002903198,"about_ca_system_score_codex":0.0010863707,"about_ca_system_score_gemma":0.0031880492,"threshold_uncertainty_score":0.00971216},"labels":[],"label_agreement":null},{"id":"W2807189992","doi":"10.5539/mas.v12n6p143","title":"Security in Cloud Computing Using Hash Algorithm: A Neural Cloud Data Security Model","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Server; Cloud testing; Computer security; Data security; Scalability; Big data; Cryptography; Utility computing; Algorithm; Database; Encryption; Distributed computing; Computer network; Operating system","score_opus":0.0649163198011627,"score_gpt":0.3150943964839243,"score_spread":0.2501780766827616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807189992","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":[0.052329604,0.0026487063,0.9155602,0.00358879,0.0002828543,0.00026928625,0.00017310535,0.00034569582,0.024801742],"genre_scores_gemma":[0.87236357,0.0028228571,0.11207237,0.00034833458,0.0002894343,0.00016176923,0.00013085664,0.00005219821,0.011758631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989741,0.00026131378,0.000055572007,0.0001497201,0.000412794,0.00014657996],"domain_scores_gemma":[0.9986462,0.00050454005,0.000115762574,0.00026588232,0.00037049074,0.0000972449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012456801,0.00037963092,0.0006143809,0.0011518165,0.0011530762,0.0024329603,0.0016100316,0.0012494172,0.002658383],"category_scores_gemma":[0.002894545,0.00023847599,0.00071434723,0.001832036,0.0019483985,0.006286407,0.0014918497,0.0014084942,0.00069082814],"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":[0.00026125103,0.0001115928,0.0024416628,0.00014364894,0.000053143878,0.00020900877,0.00023865137,0.17316575,0.0037969537,0.75262624,0.00400979,0.062942214],"study_design_scores_gemma":[0.000025020134,0.00007414749,0.0003900814,0.000026852033,0.000015731108,0.00017692975,0.00006446347,0.85220927,0.0016430129,0.13938974,0.005959299,0.000025340742],"about_ca_topic_score_codex":0.0046018944,"about_ca_topic_score_gemma":0.0024334593,"teacher_disagreement_score":0.0046018944,"about_ca_system_score_codex":0.0024774652,"about_ca_system_score_gemma":0.0020862364,"threshold_uncertainty_score":0.01797539},"labels":[],"label_agreement":null},{"id":"W2808593039","doi":"10.29173/iq396","title":"Demonstrating Repository Trustworthiness through the Data Seal of Approval","year":2017,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Cloud Data Security Solutions","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":"123 Certification (Canada)","funders":"","keywords":"Trustworthiness; Seal (emblem); Computer science; Data science; Psychology; Internet privacy; History; Archaeology","score_opus":0.05470570873620894,"score_gpt":0.3085351756232083,"score_spread":0.25382946688699937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808593039","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":[0.267495,0.0007338545,0.4093577,0.0376219,0.0011472328,0.001487023,0.001170868,0.0026955206,0.2782909],"genre_scores_gemma":[0.95173687,0.00019711735,0.03939782,0.0016733226,0.00015093203,0.0004351743,0.00029412302,0.00029437058,0.0058202585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.84322846,0.082348704,0.013680481,0.007909568,0.047307275,0.005525535],"domain_scores_gemma":[0.4870574,0.23956016,0.05565366,0.11966611,0.09008974,0.007972956],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.09502022,0.00059512537,0.00099182,0.003038738,0.004229998,0.013851919,0.0019832114,0.0044599352,0.010295519],"category_scores_gemma":[0.35210538,0.0010554685,0.0012279588,0.002264737,0.011307723,0.024917975,0.01709687,0.0074413745,0.0027740651],"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":[0.001417983,0.0003872722,0.07000436,0.0010596483,0.00024012108,0.0011058935,0.04926235,0.0054861307,0.010932675,0.6854445,0.026079183,0.14857987],"study_design_scores_gemma":[0.0005255271,0.0019163548,0.04236818,0.0020414477,0.0005274275,0.0019732993,0.032458544,0.034762528,0.039667126,0.55462044,0.28837967,0.0007594361],"about_ca_topic_score_codex":0.0037666035,"about_ca_topic_score_gemma":0.0019804754,"teacher_disagreement_score":0.9980168,"about_ca_system_score_codex":0.003364036,"about_ca_system_score_gemma":0.011483586,"threshold_uncertainty_score":0.5025209},"labels":[],"label_agreement":null},{"id":"W2810226230","doi":"10.1109/uic-atc.2017.8397604","title":"Dynamic distributed key infrastructures (DDKI) and dynamic identity verification and authentication (DIVA)","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"A&L Canada Laboratories (Canada)","funders":"","keywords":"Computer science; Public key infrastructure; Computer security; Key distribution; Authentication (law); Trusted Computing; Trusted Platform Module; Encryption; Key exchange; Key management; Key (lock); Symmetric-key algorithm; Single point of failure; Implicit certificate; Public-key cryptography; Computer network","score_opus":0.010141329542700743,"score_gpt":0.28021362711184944,"score_spread":0.2700722975691487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810226230","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":[0.043703515,0.057700016,0.5591085,0.008778419,0.0033752862,0.0006190988,0.00046912834,0.0019204201,0.32432553],"genre_scores_gemma":[0.81118673,0.022427857,0.13610013,0.0018077816,0.0010373408,0.0004450558,0.00048365182,0.0002667414,0.026244737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98828715,0.003327837,0.0006780006,0.0013146909,0.0052746376,0.0011177479],"domain_scores_gemma":[0.98919046,0.003566938,0.0018334172,0.0034583868,0.0014449536,0.00050580676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046899687,0.00087592995,0.00070230925,0.0025866465,0.0016043801,0.0064977775,0.0018838779,0.0019591313,0.0059528127],"category_scores_gemma":[0.014736296,0.00054471585,0.0007804389,0.004075153,0.00497262,0.015237527,0.0057122144,0.0047452,0.002248199],"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":[0.00029477564,0.00006436076,0.0010978518,0.00057767186,0.00003394489,0.000111400834,0.00030896682,0.003406774,0.0028854697,0.84251606,0.0032328907,0.14546986],"study_design_scores_gemma":[0.00012217081,0.00085905864,0.0035301535,0.0006001192,0.000108898326,0.004778245,0.0010506156,0.026502622,0.02681839,0.5051625,0.43023944,0.00022789145],"about_ca_topic_score_codex":0.0008817368,"about_ca_topic_score_gemma":0.00065233576,"teacher_disagreement_score":0.0064977775,"about_ca_system_score_codex":0.0045350036,"about_ca_system_score_gemma":0.0030546102,"threshold_uncertainty_score":0.03290391},"labels":[],"label_agreement":null},{"id":"W2886147190","doi":"10.1109/cns.2018.8433180","title":"PERMON: An OpenStack Middleware for Runtime Security Policy Enforcement in Clouds","year":2018,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cloud computing; Middleware (distributed applications); Enforcement; Interface (matter); Operating system; Computer security; Set (abstract data type); Programming language","score_opus":0.035100784745729835,"score_gpt":0.324660389760751,"score_spread":0.2895596050150212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886147190","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":[0.032918464,0.0005695419,0.6356618,0.000619242,0.0008140645,0.0006991162,0.00061358104,0.31110215,0.017002115],"genre_scores_gemma":[0.6275557,0.0008615873,0.30242023,0.0016926477,0.00031810114,0.00096292206,0.0032134433,0.041178748,0.021796662],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99602497,0.00058894814,0.00046440403,0.0006132759,0.001670797,0.0006376014],"domain_scores_gemma":[0.9948473,0.0012879381,0.0005102575,0.0021420862,0.0006104161,0.00060194335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032227035,0.0011528427,0.0008049165,0.0013030581,0.0011760108,0.0026677954,0.0037617951,0.0013368968,0.007098727],"category_scores_gemma":[0.010074192,0.00122785,0.0010928327,0.0006962844,0.0021553924,0.00581692,0.00613355,0.0029605732,0.002709259],"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":[0.0034999307,0.00126904,0.01847085,0.0025305536,0.0006347382,0.0035601647,0.005924307,0.05299729,0.17552534,0.17259166,0.13820848,0.4247877],"study_design_scores_gemma":[0.00032077052,0.00037450745,0.0061640646,0.00047547324,0.00022061619,0.0017076334,0.00058872433,0.38322878,0.1909871,0.075990826,0.33924282,0.0006987325],"about_ca_topic_score_codex":0.0028171449,"about_ca_topic_score_gemma":0.0018222088,"teacher_disagreement_score":0.007098727,"about_ca_system_score_codex":0.0017671931,"about_ca_system_score_gemma":0.003377009,"threshold_uncertainty_score":0.023747623},"labels":[],"label_agreement":null},{"id":"W2891828335","doi":"10.1109/cloud.2018.00128","title":"ORGODEX: Service Portfolios for the Cloud","year":2018,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Royal Military College of Canada","funders":"","keywords":"Cloud computing; Scalability; Computer science; Software deployment; Portfolio; Service (business); Distributed computing; Service catalog; Process management; Computer security; Service delivery framework; Data science; Software engineering; Service design; Database; Business; Operating system","score_opus":0.030805832078779898,"score_gpt":0.28153324989197454,"score_spread":0.25072741781319463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891828335","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":[0.010066202,0.00017097713,0.9685828,0.0008025135,0.00007761189,0.00024293823,0.00031101354,0.0011550233,0.018590877],"genre_scores_gemma":[0.17200369,0.0004904264,0.815949,0.00021962925,0.000037945865,0.00037444374,0.0009246776,0.00037310808,0.009627132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981027,0.00079922215,0.00015843225,0.00017471248,0.0006174556,0.0001475145],"domain_scores_gemma":[0.9988274,0.00031608297,0.00011463444,0.0003618166,0.00026325884,0.000116729745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025771176,0.00066926243,0.00036129632,0.001313575,0.0011357318,0.0047941455,0.0011354802,0.00084222015,0.0039686323],"category_scores_gemma":[0.004359287,0.00037154462,0.00066483405,0.0013442398,0.00086775725,0.004898056,0.0027329584,0.0016332157,0.0014368239],"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":[0.00006502109,0.00006812372,0.0020659878,0.0001229901,0.000020308824,0.00021972244,0.0004479978,0.027445495,0.0022484304,0.8475031,0.00689824,0.11289454],"study_design_scores_gemma":[0.000045034536,0.00012353975,0.0011322411,0.00026003402,0.00003075649,0.00059761724,0.00073840725,0.33527875,0.009407545,0.39070204,0.2616264,0.000057657042],"about_ca_topic_score_codex":0.002399471,"about_ca_topic_score_gemma":0.0023179308,"teacher_disagreement_score":0.0047941455,"about_ca_system_score_codex":0.0015704227,"about_ca_system_score_gemma":0.0024487728,"threshold_uncertainty_score":0.013629258},"labels":[],"label_agreement":null},{"id":"W2892157732","doi":"10.1109/cloud.2018.00147","title":"A Novice Group Sharing Method for Public Cloud","year":2018,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Computer science; Scalability; Cloud storage; Protocol (science); Key (lock); Shared resource; Distributed computing; Cryptography; Public-key cryptography; Resource (disambiguation); Computer security; Computer network; Database; Operating system; Encryption","score_opus":0.06325343344179009,"score_gpt":0.332265704191601,"score_spread":0.26901227074981093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892157732","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":[0.01772074,0.00013152721,0.976546,0.00022176863,0.0001046677,0.0002183504,0.00003355993,0.0004780432,0.004545357],"genre_scores_gemma":[0.466756,0.00021522885,0.5163437,0.00023308702,0.00017620115,0.00038476312,0.00017817788,0.00013597915,0.015576815],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844754,0.00036904684,0.00007982758,0.00030898277,0.000611461,0.00018311582],"domain_scores_gemma":[0.99881446,0.00017024009,0.00008498893,0.0005437859,0.00025395205,0.00013248883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090305734,0.00047418752,0.0006775051,0.00071644504,0.0021527573,0.0008214911,0.001591933,0.0008995951,0.004973092],"category_scores_gemma":[0.0017360582,0.00020540605,0.0006914888,0.0008117669,0.0009956373,0.0035134412,0.0031867612,0.0009034648,0.0009843971],"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":[0.00051871117,0.000401423,0.0017326671,0.0003075341,0.00012248737,0.0005937077,0.0017949316,0.0296337,0.051855963,0.26009908,0.01305149,0.6398883],"study_design_scores_gemma":[0.00028181725,0.0006188496,0.001258371,0.00005627609,0.00010967634,0.0024357373,0.000738188,0.71195173,0.045105822,0.17262417,0.064591244,0.00022809014],"about_ca_topic_score_codex":0.0011652535,"about_ca_topic_score_gemma":0.0010373865,"teacher_disagreement_score":0.004973092,"about_ca_system_score_codex":0.0008198509,"about_ca_system_score_gemma":0.0014081071,"threshold_uncertainty_score":0.01663661},"labels":[],"label_agreement":null},{"id":"W2894169953","doi":"","title":"Security Concerns on Adoption of Cloud Computing","year":2014,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer security; Computer science; Cloud computing security; Business; Internet privacy; Operating system","score_opus":0.025389321409416143,"score_gpt":0.2796936767396114,"score_spread":0.25430435533019524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894169953","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":[0.9749672,0.0005383604,0.00088473194,0.0051378133,0.000028635097,0.000035513593,0.00002698477,0.000011232502,0.01836959],"genre_scores_gemma":[0.998882,0.00027359743,0.00019551393,0.00020478647,0.000013796016,0.000008051997,0.000011982414,0.000003588624,0.00040664422],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9866627,0.0057007987,0.0007627068,0.0004646305,0.004823237,0.0015858954],"domain_scores_gemma":[0.9308282,0.034284107,0.017899334,0.0013030596,0.01226367,0.003421627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00872533,0.00020574358,0.0001988008,0.0017326577,0.0032349727,0.0052535385,0.0005176249,0.0013844531,0.0029031592],"category_scores_gemma":[0.038071085,0.00027085206,0.00039199917,0.0017937988,0.0027723033,0.0037513876,0.0020277114,0.0021459626,0.0003306028],"study_design_candidate":"qualitative","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":[0.0004277278,0.0006428625,0.5425836,0.00079525047,0.00007594063,0.0026965742,0.27920353,0.0009490447,0.0074332063,0.045383148,0.0037296785,0.116079405],"study_design_scores_gemma":[0.00002035891,0.00079087657,0.4216428,0.0011090939,0.00006360052,0.002198836,0.50630033,0.0024459648,0.0037895914,0.007928533,0.053562507,0.00014750112],"about_ca_topic_score_codex":0.010489853,"about_ca_topic_score_gemma":0.005784287,"teacher_disagreement_score":0.010489853,"about_ca_system_score_codex":0.0045137913,"about_ca_system_score_gemma":0.0048614666,"threshold_uncertainty_score":0.046144485},"labels":[],"label_agreement":null},{"id":"W2900957219","doi":"10.1109/tsc.2018.2881147","title":"Achieving Efficient and Privacy-Preserving Multi-Domain Big Data Deduplication in Cloud","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":36,"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 New Brunswick","funders":"China Scholarship Council; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Data deduplication; Computer science; Ciphertext; Encryption; Cloud computing; Brute-force attack; Plaintext; Cloud storage; Domain (mathematical analysis); Computer security; Computer network; Mathematics","score_opus":0.05500071436828526,"score_gpt":0.2962869501954648,"score_spread":0.24128623582717953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900957219","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":[0.13048553,0.0017212371,0.8615007,0.00060481176,0.00016584017,0.0003079031,0.00033541536,0.0009847098,0.003893869],"genre_scores_gemma":[0.89814895,0.00043951158,0.09896003,0.00018195799,0.000042342355,0.00009608329,0.00027178423,0.00002999918,0.0018293635],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986908,0.0002740681,0.00012419546,0.00024800614,0.00044646385,0.00021649724],"domain_scores_gemma":[0.9977582,0.0003804995,0.0002381064,0.0010961286,0.00039457125,0.00013254298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015937216,0.0004529911,0.0007983183,0.00053423387,0.0010977765,0.0013399203,0.0014025177,0.0006921435,0.0008293746],"category_scores_gemma":[0.0023513038,0.00029094119,0.0006945139,0.0009765862,0.0006930471,0.0026733112,0.0027756526,0.0008790407,0.00037443134],"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":[0.0019688406,0.00059164886,0.009659534,0.0013501833,0.0004139853,0.0022344168,0.00183099,0.2793253,0.20214044,0.12933044,0.017382238,0.35377204],"study_design_scores_gemma":[0.00014924836,0.0003513115,0.0015055219,0.000060035603,0.00008441722,0.0018197891,0.00039982362,0.84784985,0.10360963,0.02859897,0.015465883,0.00010555525],"about_ca_topic_score_codex":0.0007184055,"about_ca_topic_score_gemma":0.0008787932,"teacher_disagreement_score":0.0015937216,"about_ca_system_score_codex":0.00066229684,"about_ca_system_score_gemma":0.0013945538,"threshold_uncertainty_score":0.008428514},"labels":[],"label_agreement":null},{"id":"W2911408682","doi":"","title":"Proceedings of the 2009 ACM workshop on Cloud computing security","year":2009,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cloud computing security; Government (linguistics); Software deployment; Officer; Adversarial system; Cryptography; World Wide Web; Internet privacy; Political science; Law; Software engineering; Artificial intelligence","score_opus":0.022034097594655425,"score_gpt":0.26919457152465975,"score_spread":0.24716047393000434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911408682","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024595758,0.0915303,0.21982351,0.21942678,0.1303153,0.0014120485,0.0029639837,0.0041060634,0.30582622],"genre_scores_gemma":[0.19022174,0.07110946,0.11601211,0.015408262,0.033102173,0.00087465486,0.012229703,0.002376763,0.5586651],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963527,0.001099174,0.00023708693,0.0005562693,0.0012071657,0.0005475342],"domain_scores_gemma":[0.9952076,0.001178864,0.00013193312,0.00081076747,0.0015401151,0.0011306419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00501095,0.001361608,0.0014415344,0.0013125495,0.002566475,0.0067148684,0.002334683,0.0026117258,0.037838224],"category_scores_gemma":[0.008297203,0.000647356,0.0010889663,0.0015176083,0.0016553064,0.0076644197,0.0035844643,0.005482185,0.01256493],"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":[0.00023031415,0.00015457622,0.00085574295,0.00022067712,0.000045785728,0.00029405984,0.00058317545,0.0013392501,0.001572446,0.028334128,0.82304764,0.14332215],"study_design_scores_gemma":[0.000031269148,0.000037092403,0.0007697065,0.00025080374,0.000024747473,0.00026007066,0.00045822555,0.006053665,0.00083806773,0.016320238,0.97492766,0.000028386567],"about_ca_topic_score_codex":0.009726115,"about_ca_topic_score_gemma":0.018311715,"teacher_disagreement_score":0.037838224,"about_ca_system_score_codex":0.0032136037,"about_ca_system_score_gemma":0.005159946,"threshold_uncertainty_score":0.12658143},"labels":[],"label_agreement":null},{"id":"W2913455785","doi":"","title":"Proceedings of the 4th international conference on Autonomic and Trusted Computing","year":2007,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"St. Francis Xavier University","funders":"","keywords":"Computer science; Computer security; Political science; Business","score_opus":0.029730279600344467,"score_gpt":0.27290289297837117,"score_spread":0.2431726133780267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913455785","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0561915,0.037196178,0.37778863,0.036241107,0.06135719,0.0009727399,0.0008647393,0.0037488732,0.42563903],"genre_scores_gemma":[0.36644495,0.021865744,0.12255673,0.0027852913,0.012637821,0.00037973456,0.0030226945,0.0009782226,0.46932888],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848735,0.00045274268,0.00010277235,0.00019701029,0.00051859923,0.00024158056],"domain_scores_gemma":[0.99644864,0.00079292944,0.00009984688,0.0006449715,0.0014513491,0.00056216447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031192878,0.0008234363,0.001396808,0.0007717461,0.0016348718,0.006423143,0.0011777529,0.0014767775,0.036716357],"category_scores_gemma":[0.0034500265,0.000391593,0.00084268686,0.0007299358,0.0013905407,0.0030956357,0.0014913823,0.0027763797,0.01016447],"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":[0.0016905841,0.0006949795,0.0035447553,0.000493319,0.0003091525,0.00079183356,0.00067354616,0.005668845,0.010695413,0.08270133,0.42257565,0.47016063],"study_design_scores_gemma":[0.00014866273,0.000352714,0.0032240164,0.00029420824,0.00021225751,0.00093226717,0.00049949257,0.05999576,0.01106339,0.043106318,0.8800898,0.00008112623],"about_ca_topic_score_codex":0.0041803913,"about_ca_topic_score_gemma":0.009245938,"teacher_disagreement_score":0.036716357,"about_ca_system_score_codex":0.0016313485,"about_ca_system_score_gemma":0.0025129581,"threshold_uncertainty_score":0.12282848},"labels":[],"label_agreement":null},{"id":"W2914243594","doi":"","title":"Proceedings of the 2010 ACM workshop on Cloud computing security workshop","year":2010,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; IBM; Computer science; Cloud computing security; Software deployment; Computer security; World Wide Web; Software as a service; Software; Software engineering; Software development; Operating system","score_opus":0.023613147125663172,"score_gpt":0.27097061416634904,"score_spread":0.24735746704068587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914243594","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029237151,0.046426833,0.1522795,0.19778836,0.13092266,0.001847699,0.0057389466,0.00724403,0.42851493],"genre_scores_gemma":[0.13337179,0.031466104,0.066610865,0.012895236,0.015737765,0.0011314304,0.020509902,0.002399954,0.71587694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974369,0.0006955654,0.00014581025,0.0004050333,0.00085085863,0.00046583428],"domain_scores_gemma":[0.9962387,0.0006393292,0.00007635541,0.0004520325,0.0013953083,0.0011982193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042797,0.0013511274,0.0012575177,0.0012135815,0.0029280877,0.0061040013,0.0021031566,0.0021351746,0.060884133],"category_scores_gemma":[0.005108647,0.00061458995,0.00092576543,0.0013957642,0.00087108265,0.006058897,0.0033996,0.004323489,0.026720336],"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":[0.00018364422,0.00014749658,0.0006167091,0.00014269882,0.00002005564,0.00016526443,0.00035645496,0.00051109924,0.001538353,0.007011588,0.8988453,0.090461165],"study_design_scores_gemma":[0.00003398109,0.000037118883,0.00089309085,0.00015895488,0.000018590219,0.00017139193,0.00062753033,0.004229257,0.0008713602,0.0050170724,0.987917,0.00002477466],"about_ca_topic_score_codex":0.0094958935,"about_ca_topic_score_gemma":0.023784382,"teacher_disagreement_score":0.060884133,"about_ca_system_score_codex":0.0027727727,"about_ca_system_score_gemma":0.0056023807,"threshold_uncertainty_score":0.20367771},"labels":[],"label_agreement":null},{"id":"W2914326436","doi":"","title":"Proceedings of the 2013 international workshop on Security in cloud computing","year":2013,"lang":"en","type":"article","venue":"ACM Symposium on Information, Computer and Communications Security","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Cloud computing security; Computer science; Trusted Computing; Computer security; Information security; Audit; Internet privacy; Business; Accounting","score_opus":0.012952885880231845,"score_gpt":0.2484834273895591,"score_spread":0.23553054150932723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914326436","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013613334,0.08277402,0.20245847,0.1209633,0.3147465,0.0018735635,0.0025057963,0.0030964992,0.2579685],"genre_scores_gemma":[0.09376389,0.06667521,0.09578531,0.011792011,0.06334837,0.0011896113,0.0083190035,0.0027052665,0.65642136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953603,0.0012597113,0.00027800846,0.0005922874,0.0018203877,0.00068924914],"domain_scores_gemma":[0.993185,0.001172222,0.00019042531,0.0006266689,0.0029206763,0.0019049834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005900641,0.001481879,0.001554806,0.0016567893,0.0024071054,0.006681762,0.0024646407,0.0025465668,0.051224012],"category_scores_gemma":[0.008266976,0.00057111995,0.0016533643,0.0016212673,0.0013408253,0.006110898,0.0038941547,0.005531609,0.017965958],"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":[0.00018026274,0.00014884085,0.0004198551,0.0003995484,0.000044598968,0.0002727475,0.00045681256,0.0012970156,0.0018090571,0.015118439,0.85153675,0.12831615],"study_design_scores_gemma":[0.000021722346,0.000058522503,0.00066331355,0.00034706006,0.00002596534,0.00029835192,0.0004139112,0.0030385654,0.0011261569,0.009114219,0.9848555,0.000036739424],"about_ca_topic_score_codex":0.0046282923,"about_ca_topic_score_gemma":0.008932118,"teacher_disagreement_score":0.051224012,"about_ca_system_score_codex":0.0030670073,"about_ca_system_score_gemma":0.0055834055,"threshold_uncertainty_score":0.17136139},"labels":[],"label_agreement":null},{"id":"W2922396251","doi":"10.1016/j.future.2019.03.004","title":"Trust enforcement through self-adapting cloud workflow orchestration","year":2019,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Orchestration; Workflow; Cloud computing; Distributed computing; Quality of service; Control reconfiguration; Workflow management system; Workflow technology; Computer network; Embedded system; Database; Operating system","score_opus":0.022293356388633265,"score_gpt":0.23687631284978236,"score_spread":0.2145829564611491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922396251","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":[0.077123225,0.0001639744,0.90319306,0.00054150756,0.00030053445,0.0002633767,0.000097035496,0.011570112,0.006747129],"genre_scores_gemma":[0.8944869,0.00008690407,0.101167366,0.00018487257,0.000055483037,0.00007164109,0.00020779813,0.0006104744,0.0031285854],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949673,0.0011301835,0.00044583168,0.0010432551,0.0016509048,0.0007625088],"domain_scores_gemma":[0.9863957,0.0021068878,0.0010294301,0.0077261394,0.0018570643,0.00088475464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047885245,0.0007266028,0.0007035174,0.0007615827,0.0012506275,0.0029401078,0.002526436,0.0009513316,0.00193836],"category_scores_gemma":[0.013657375,0.0005467951,0.0007314462,0.00067744247,0.0012506745,0.003085368,0.00479045,0.0024137925,0.0008504932],"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":[0.0023104995,0.0017544646,0.022325998,0.0003319272,0.0005629956,0.002264696,0.0024246338,0.25791633,0.13137905,0.09251368,0.022712965,0.46350285],"study_design_scores_gemma":[0.000047151138,0.00005745184,0.0009189314,0.000023867384,0.00005091111,0.00019863983,0.00015374397,0.94461656,0.023331203,0.023930874,0.0066314987,0.00003909265],"about_ca_topic_score_codex":0.0035021084,"about_ca_topic_score_gemma":0.004524139,"teacher_disagreement_score":0.0047885245,"about_ca_system_score_codex":0.00091723184,"about_ca_system_score_gemma":0.0029394915,"threshold_uncertainty_score":0.025324404},"labels":[],"label_agreement":null},{"id":"W2930871722","doi":"10.1109/tcc.2019.2908400","title":"Blockchain-Based Public Integrity Verification for Cloud Storage against Procrastinating Auditors","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":287,"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 Guelph; University of Waterloo","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China; Brander Beacons Cancer Research","keywords":"Computer science; Cloud computing; Public key infrastructure; Key (lock); Certificate; Public-key cryptography; Information retrieval; Algorithm; Database; Computer security; Encryption; Operating system","score_opus":0.02825568039486496,"score_gpt":0.2653957163789077,"score_spread":0.23714003598404274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930871722","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":[0.06067627,0.0005574015,0.92138875,0.0021060857,0.00022267057,0.00068041094,0.00035580416,0.0036972314,0.010315393],"genre_scores_gemma":[0.93501043,0.00026267263,0.058766853,0.00017835788,0.00007347039,0.00018815561,0.0002560415,0.000077773715,0.00518624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994789,0.0015662863,0.0003587697,0.00088125124,0.0014850842,0.000919706],"domain_scores_gemma":[0.99025214,0.0032692389,0.0009158351,0.0032756384,0.0017223893,0.0005647063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036513659,0.0006038153,0.0013879687,0.0010657066,0.002965602,0.0029050882,0.002915743,0.0020639463,0.007104763],"category_scores_gemma":[0.012541104,0.00062511966,0.00096028834,0.0014842638,0.0022864083,0.007028875,0.005646305,0.0022030533,0.001444916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026851883,0.00048635813,0.0043102154,0.00066701666,0.00020543089,0.0015815091,0.0015058068,0.39700907,0.026539652,0.2954711,0.015658466,0.2538802],"study_design_scores_gemma":[0.00015552854,0.00010932097,0.00026413967,0.000044141074,0.000043542437,0.00019606257,0.000121426805,0.9229917,0.010216079,0.06072028,0.0050877123,0.000050074133],"about_ca_topic_score_codex":0.008077958,"about_ca_topic_score_gemma":0.0076034837,"teacher_disagreement_score":0.008077958,"about_ca_system_score_codex":0.0031007743,"about_ca_system_score_gemma":0.008216137,"threshold_uncertainty_score":0.02376777},"labels":[],"label_agreement":null},{"id":"W2941698716","doi":"10.23977/acss.2019.31001","title":"A Data Integrity Verification Scheme with Secure Deduplication in Smart Grid Cloud Storage","year":2019,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data deduplication; Computer science; Data integrity; Cloud storage; Cloud computing; Distributed computing; Database; Operating system","score_opus":0.031328714148021325,"score_gpt":0.28444031496025823,"score_spread":0.25311160081223694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941698716","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":[0.07794167,0.0015132539,0.9125333,0.000756505,0.00035123475,0.00045407077,0.00031809145,0.0011983903,0.004933505],"genre_scores_gemma":[0.8662661,0.00076163857,0.12742676,0.00024174107,0.00012776551,0.00019434169,0.00035713386,0.00003220934,0.0045924275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837303,0.0002830991,0.00020238761,0.0003122962,0.0006200401,0.00020898023],"domain_scores_gemma":[0.9980951,0.0002768784,0.00019975008,0.00068202394,0.00066581205,0.00008038126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011395882,0.0004452653,0.0008333661,0.0007536662,0.0015073904,0.0012249425,0.0012661507,0.0008110204,0.0016336987],"category_scores_gemma":[0.0022795387,0.00031489696,0.00051991927,0.0014243427,0.000730699,0.0036159735,0.0016966462,0.00069658674,0.00048089144],"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":[0.0022996445,0.00030668097,0.0045448346,0.0011303104,0.00025510212,0.0018506892,0.0012790944,0.101369835,0.22573657,0.22086819,0.015214287,0.42514476],"study_design_scores_gemma":[0.00036358842,0.0007101268,0.0013031694,0.00011514296,0.00015446097,0.002991905,0.00028896917,0.73202944,0.1996605,0.030326411,0.03180127,0.0002549097],"about_ca_topic_score_codex":0.0016848078,"about_ca_topic_score_gemma":0.0011863569,"teacher_disagreement_score":0.0016848078,"about_ca_system_score_codex":0.0011721969,"about_ca_system_score_gemma":0.0022634377,"threshold_uncertainty_score":0.008504927},"labels":[],"label_agreement":null},{"id":"W2948425938","doi":"10.1109/tii.2019.2920402","title":"Game Theoretical Analysis on Encrypted Cloud Data Deduplication","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"National Key Research and Development Program of China; National Postdoctoral Program for Innovative Talents; Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; China Postdoctoral Science Foundation; Academy of Finland; National Natural Science Foundation of China","keywords":"Data deduplication; Cloud computing; Computer science; Incentive; Service provider; Robustness (evolution); Encryption; Incentive compatibility; Profitability index; Software deployment; Game theory; Database; Computer security; Service (business); Business; Operating system; Microeconomics","score_opus":0.054159294017450836,"score_gpt":0.287022105062264,"score_spread":0.23286281104481316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948425938","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":[0.19892183,0.0015336056,0.74197686,0.0029874053,0.00021717645,0.0004861528,0.0004944896,0.00009589392,0.053286504],"genre_scores_gemma":[0.9656916,0.0007630613,0.02466508,0.00020362568,0.000070124144,0.00024848583,0.00009809306,0.000025014602,0.008234844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864024,0.0007110555,0.000045396948,0.00013692725,0.0002132723,0.00025325554],"domain_scores_gemma":[0.99475855,0.0038672867,0.00040587434,0.00014138986,0.00046531373,0.00036148302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025158203,0.0009835674,0.0010828582,0.000808649,0.0008675378,0.001843942,0.0015362209,0.0014417549,0.004915744],"category_scores_gemma":[0.0071177073,0.00042873432,0.0009050813,0.0006964483,0.0018933861,0.0021990591,0.0015860285,0.001854367,0.00026337412],"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":[0.000103701626,0.00016125992,0.00093721325,0.00015548451,0.000047626498,0.00042944244,0.0002985069,0.4389262,0.0014347803,0.5472067,0.00296461,0.0073345006],"study_design_scores_gemma":[0.00003885041,0.000049495997,0.00028469454,0.000017811033,0.000014530621,0.00005873872,0.00012884452,0.8945934,0.00015018511,0.103540696,0.0011015922,0.000021101983],"about_ca_topic_score_codex":0.007228472,"about_ca_topic_score_gemma":0.0038144249,"teacher_disagreement_score":0.007228472,"about_ca_system_score_codex":0.0028221325,"about_ca_system_score_gemma":0.002437558,"threshold_uncertainty_score":0.020476103},"labels":[],"label_agreement":null},{"id":"W2952391640","doi":"10.3233/jcs-191306","title":"Mitigating the insider threat of remote administrators in clouds through maintenance task assignments","year":2019,"lang":"en","type":"article","venue":"Journal of Computer Security","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer security; Cloud computing; Credential; Insider; Task (project management); Computer science; Downtime; Privilege (computing); Insider threat; Internet privacy; Engineering","score_opus":0.0168734904852838,"score_gpt":0.26860243249639526,"score_spread":0.25172894201111146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952391640","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":[0.4318537,0.00084755436,0.5565721,0.0008808558,0.00010622326,0.00029166898,0.000105674924,0.0006582727,0.008683924],"genre_scores_gemma":[0.9731204,0.00013098848,0.025703467,0.000044177108,0.000018002029,0.00003830513,0.000025856332,0.00003812582,0.000880658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998541,0.0005084718,0.000049806695,0.00018161113,0.00026312663,0.0004560538],"domain_scores_gemma":[0.9976285,0.00083197124,0.000589488,0.0002937264,0.00027304675,0.0003832029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00172786,0.0011175015,0.0006724973,0.0004519579,0.00096367684,0.0016149806,0.0014196456,0.0009009475,0.0017105124],"category_scores_gemma":[0.004510683,0.00042660988,0.00038483282,0.0004773044,0.0007425468,0.0020182503,0.001652038,0.0012009335,0.00023605142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019894671,0.00015095556,0.0027562492,0.00009306738,0.000022288932,0.00019960121,0.00015968949,0.9559717,0.004829739,0.006476251,0.0010670406,0.028074339],"study_design_scores_gemma":[0.00001524952,0.00010783392,0.00089312845,0.000015792535,0.000023618606,0.00010839989,0.0001410484,0.99210536,0.0016293536,0.0040789717,0.00086916337,0.000012016975],"about_ca_topic_score_codex":0.0055197547,"about_ca_topic_score_gemma":0.0069058947,"teacher_disagreement_score":0.0055197547,"about_ca_system_score_codex":0.001099926,"about_ca_system_score_gemma":0.0022439437,"threshold_uncertainty_score":0.010975242},"labels":[],"label_agreement":null},{"id":"W2964046011","doi":"10.5539/cis.v12n3p27","title":"A Proposition of Modifications and Extensions of Cloud Computing Standards for Trust Characteristics Measures","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Cloud computing; Computer science; Cloud testing; Service (business); Service provider; Trustworthiness; Cloud computing security; Computer security; Work (physics); Business; Marketing","score_opus":0.019375572567668673,"score_gpt":0.2735611776888243,"score_spread":0.2541856051211556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964046011","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":[0.032069474,0.0022264007,0.92249817,0.006205248,0.0007080495,0.00054385327,0.0005877146,0.0004973204,0.034663722],"genre_scores_gemma":[0.53766054,0.0019628492,0.45249212,0.0014299444,0.00067422073,0.0010706732,0.00063868036,0.0001903487,0.0038806177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97654724,0.009780505,0.0035014295,0.0032458045,0.0059089754,0.001015998],"domain_scores_gemma":[0.9296002,0.028051874,0.0070808786,0.0147790145,0.019353325,0.0011347593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019289834,0.001104465,0.0010414583,0.0031319016,0.0017356614,0.005716912,0.0021183589,0.0022151647,0.0020025976],"category_scores_gemma":[0.07380888,0.0006552528,0.00212802,0.0043207863,0.0046701934,0.012679046,0.002904228,0.005633168,0.000925918],"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":[0.0000979261,0.00016914967,0.008823345,0.00044222325,0.00015074067,0.0002206742,0.0018897358,0.012289957,0.0018514856,0.8310748,0.0046172705,0.1383728],"study_design_scores_gemma":[0.000053284457,0.00042226329,0.010053368,0.0008112084,0.0002381564,0.0009000869,0.0013892236,0.10936431,0.0040095695,0.8177265,0.05477463,0.00025741666],"about_ca_topic_score_codex":0.007009359,"about_ca_topic_score_gemma":0.004413567,"teacher_disagreement_score":0.019289834,"about_ca_system_score_codex":0.0036907676,"about_ca_system_score_gemma":0.0043503554,"threshold_uncertainty_score":0.102015615},"labels":[],"label_agreement":null},{"id":"W2968387920","doi":"10.1007/978-3-030-29729-9_3","title":"Graphene: A Secure Cloud Communication Architecture","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Cloud computing; Architecture; Computer security; Computer architecture; Operating system; History; Archaeology","score_opus":0.015018850412627667,"score_gpt":0.2453479278852624,"score_spread":0.23032907747263476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968387920","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":[0.07312624,0.01050282,0.52787536,0.004735191,0.0033181848,0.00021491012,0.00057601085,0.011738846,0.36791244],"genre_scores_gemma":[0.5655528,0.007724809,0.21966329,0.0008621922,0.00036573043,0.00014133337,0.00036333376,0.0009875513,0.20433894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988437,0.000009696825,0.000002583588,0.00001490658,0.00006653014,0.000021868187],"domain_scores_gemma":[0.99993455,0.000011731712,0.000004933734,0.000022514652,0.000016426218,0.000009837931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009336273,0.0006260927,0.00023445101,0.0005073052,0.00071674515,0.0011218549,0.000791604,0.0007869629,0.006532927],"category_scores_gemma":[0.00018973624,0.00023026115,0.00022657323,0.00064855494,0.00056333997,0.0012224988,0.0007590526,0.001055478,0.0023247434],"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":[0.00023990059,0.00008542567,0.00019544119,0.00038901126,0.000048500595,0.0003813765,0.00021561135,0.023657512,0.13082378,0.47808,0.06706254,0.29882085],"study_design_scores_gemma":[0.000050212926,0.000247018,0.0005443344,0.00012789809,0.00007798491,0.0009378867,0.0001304459,0.108954154,0.12090326,0.22280999,0.5451041,0.0001127965],"about_ca_topic_score_codex":0.0007258536,"about_ca_topic_score_gemma":0.0012553313,"teacher_disagreement_score":0.006532927,"about_ca_system_score_codex":0.0005452511,"about_ca_system_score_gemma":0.00052436214,"threshold_uncertainty_score":0.021854877},"labels":[],"label_agreement":null},{"id":"W2970016575","doi":"","title":"Preservation as a Service for Trust: An InterPARES Trust Specification for Preserving Authentic Records in the Cloud.","year":2017,"lang":"en","type":"article","venue":"Phaidra (Universität Wien)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cloud computing; Service (business); Business; Computer security; Internet privacy; Cloud storage; Computer science; World Wide Web; Marketing","score_opus":0.07397976268112337,"score_gpt":0.31749655151783884,"score_spread":0.24351678883671546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970016575","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":[0.020399107,0.00060890877,0.95565283,0.0028506014,0.00039896974,0.001046638,0.0007981431,0.005702323,0.012542442],"genre_scores_gemma":[0.5622826,0.0009887023,0.4109586,0.0017457933,0.0003646328,0.00091623137,0.002466274,0.0014583309,0.018818868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98010695,0.0052993926,0.004186529,0.0013610666,0.0067886645,0.0022574402],"domain_scores_gemma":[0.969937,0.0048376787,0.002326653,0.014277614,0.0067931027,0.0018279387],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.014996663,0.00087274966,0.0012256964,0.0016151152,0.003302366,0.009714067,0.0041034645,0.003959646,0.0035079396],"category_scores_gemma":[0.022258159,0.0010102941,0.0019827038,0.0018907549,0.0037579318,0.015119541,0.01073217,0.007163921,0.0027433985],"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":[0.0012384754,0.00054468785,0.005021196,0.0008366362,0.00026219664,0.0013957453,0.0039109048,0.016387377,0.019426836,0.79337347,0.028394917,0.12920763],"study_design_scores_gemma":[0.00031409867,0.0008463418,0.0022837024,0.00093634025,0.000592483,0.0029418725,0.003254824,0.21984887,0.06819554,0.40576845,0.29454452,0.00047290634],"about_ca_topic_score_codex":0.0060542356,"about_ca_topic_score_gemma":0.0047586807,"teacher_disagreement_score":0.99028593,"about_ca_system_score_codex":0.003100777,"about_ca_system_score_gemma":0.007066833,"threshold_uncertainty_score":0.079310894},"labels":[],"label_agreement":null},{"id":"W2970061601","doi":"10.1007/978-3-030-23128-6_7","title":"Runtime Security Policy Enforcement in Clouds","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in information security","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Computer science; Middleware (distributed applications); Cloud computing; Operating system; Event (particle physics); Service (business); Software; Computer security","score_opus":0.008374307823626971,"score_gpt":0.26474429309255837,"score_spread":0.2563699852689314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970061601","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016378352,0.026532553,0.6574923,0.0055352743,0.003973466,0.0001369063,0.00045975152,0.012475354,0.27701604],"genre_scores_gemma":[0.30759138,0.03230605,0.3720565,0.0019272752,0.0021562898,0.00015045053,0.0015233735,0.005743348,0.27654532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916065,0.00010318175,0.000043817254,0.000104557344,0.00044413042,0.00014364766],"domain_scores_gemma":[0.99930596,0.00023922107,0.000054060893,0.000250631,0.00010650385,0.00004358617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007358466,0.0006151871,0.000492329,0.0005364203,0.0007506111,0.0035248387,0.0012918586,0.0008752438,0.0055323336],"category_scores_gemma":[0.0018991793,0.0005085752,0.0005162851,0.0013991992,0.0010222543,0.0029876414,0.0012483645,0.00345042,0.002913375],"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":[0.00006153362,0.00007033957,0.00028466654,0.00028845025,0.000018266119,0.00022679596,0.00042221035,0.014671967,0.0078381365,0.5278043,0.069906265,0.37840706],"study_design_scores_gemma":[0.000013596199,0.000021972415,0.00062147155,0.000494395,0.000024437384,0.00045050928,0.00018269871,0.09798574,0.018053276,0.22505426,0.65704596,0.000051650768],"about_ca_topic_score_codex":0.0045804298,"about_ca_topic_score_gemma":0.004493119,"teacher_disagreement_score":0.0055323336,"about_ca_system_score_codex":0.0018456831,"about_ca_system_score_gemma":0.0019600976,"threshold_uncertainty_score":0.01850748},"labels":[],"label_agreement":null},{"id":"W2994839156","doi":"10.1109/iemcon.2019.8936222","title":"Secure Textual Data Deduplication Scheme Based on Data Encoding and Compression","year":2019,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Encoding (memory); Data compression; Compression (physics); Scheme (mathematics); Data mining; Database; Algorithm; Artificial intelligence","score_opus":0.07096304368753294,"score_gpt":0.31336173073676826,"score_spread":0.24239868704923534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994839156","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":[0.05834601,0.0015392497,0.927982,0.0009297375,0.00042780815,0.00060427235,0.000583604,0.0008248389,0.008762505],"genre_scores_gemma":[0.7137868,0.0015051399,0.2691735,0.00041264948,0.00032280377,0.00043273225,0.0010763739,0.000060158818,0.013229794],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985763,0.0002459374,0.00016961552,0.00022978455,0.000636306,0.00014206277],"domain_scores_gemma":[0.99824345,0.0003147104,0.00023845087,0.00065525016,0.00048658776,0.00006157181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006741896,0.0005383855,0.0006268743,0.0007499037,0.00081749103,0.0009223098,0.0009399564,0.00067148,0.0018324519],"category_scores_gemma":[0.0021896544,0.00021950212,0.0005949876,0.0013653777,0.0007109593,0.0021206783,0.0014476101,0.0007966407,0.0007599946],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016043562,0.00041900793,0.0021405416,0.0011273527,0.00016902889,0.0025857117,0.0011026767,0.077471025,0.24651963,0.2612082,0.014868094,0.39078438],"study_design_scores_gemma":[0.0003315372,0.0007980085,0.0014623483,0.00018939945,0.00014921486,0.005469365,0.00039606026,0.6133364,0.28345883,0.049394283,0.044760857,0.0002536546],"about_ca_topic_score_codex":0.00048458457,"about_ca_topic_score_gemma":0.00056813465,"teacher_disagreement_score":0.0018324519,"about_ca_system_score_codex":0.0006315567,"about_ca_system_score_gemma":0.0010869043,"threshold_uncertainty_score":0.006130159},"labels":[],"label_agreement":null},{"id":"W2998084484","doi":"10.18280/isi.240608","title":"Monitoring Based Security Approach for Cloud Computing","year":2019,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cloud computing security; Operating system","score_opus":0.019346121872796215,"score_gpt":0.24663509778356998,"score_spread":0.22728897591077377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998084484","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":[0.014704747,0.0035271877,0.939807,0.0036345397,0.00040450032,0.0006054135,0.00011288441,0.0012480661,0.035955634],"genre_scores_gemma":[0.6347878,0.0037907148,0.33761707,0.0011546889,0.0004206951,0.0005986364,0.00022446789,0.00011806154,0.02128789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976215,0.0005332658,0.00014678467,0.0003824184,0.0010787295,0.00023725306],"domain_scores_gemma":[0.99934095,0.0001257055,0.000082198516,0.00016986557,0.0002150579,0.00006625554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012096404,0.0004829443,0.000461012,0.0010154736,0.0015633001,0.0026749263,0.0014006083,0.0011256733,0.0021113337],"category_scores_gemma":[0.0015071392,0.00026402052,0.00073250406,0.0008282587,0.0011268696,0.003298062,0.0018377056,0.0019297989,0.0006174866],"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":[0.00021748373,0.00014789168,0.0018976624,0.00034405905,0.00007737734,0.00055717374,0.0006008201,0.020325279,0.022327933,0.76195025,0.012999404,0.1785548],"study_design_scores_gemma":[0.000084185536,0.0003405985,0.0017872638,0.00029463187,0.000120295124,0.0019981712,0.00040040672,0.45765522,0.028803363,0.29498526,0.21339047,0.00014013772],"about_ca_topic_score_codex":0.0022788881,"about_ca_topic_score_gemma":0.0014879629,"teacher_disagreement_score":0.0026749263,"about_ca_system_score_codex":0.0024104454,"about_ca_system_score_gemma":0.0023654678,"threshold_uncertainty_score":0.017489076},"labels":[],"label_agreement":null},{"id":"W3002046057","doi":"10.34218/ijcet.10.2.2019.018","title":"A NEW PARADIGM OF SECURITY MODEL FOR TREASURY INFORMATION SYSTEM -- E-GOVERNANCE","year":2019,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Treasury; Information security; Corporate governance; Business; Computer security; Information governance; Computer science; Information system; Knowledge management; Political science; Finance; Management information systems","score_opus":0.005828272779424068,"score_gpt":0.21096490511300808,"score_spread":0.205136632333584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002046057","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":[0.021876113,0.0011639536,0.85618854,0.0097680995,0.0004424034,0.00033157368,0.0002743573,0.00039920502,0.10955575],"genre_scores_gemma":[0.77738184,0.0023241898,0.17129323,0.0015014443,0.00047671658,0.0006693746,0.00044076674,0.00015202913,0.04576046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99764675,0.00071088003,0.00015943806,0.00043168795,0.0008112909,0.00023984961],"domain_scores_gemma":[0.9988135,0.00020609585,0.00015299917,0.00033419716,0.0003716287,0.00012160792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001627009,0.00042873007,0.00044934885,0.000719048,0.0015580442,0.004599119,0.0010729976,0.0017467753,0.004731368],"category_scores_gemma":[0.0018189704,0.00022435263,0.0009859016,0.0008003676,0.0026596817,0.0077371593,0.0018337528,0.0028208552,0.0012148058],"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":[0.000009189702,0.000017044995,0.000260249,0.000031863165,0.000009270297,0.00007966594,0.00019453162,0.0030345244,0.0006989883,0.98845184,0.0017578364,0.005454986],"study_design_scores_gemma":[0.000029439867,0.00007972177,0.00038544147,0.000099433586,0.00002328925,0.00043809487,0.00031092236,0.0663243,0.0017209931,0.8460223,0.08452937,0.000036725894],"about_ca_topic_score_codex":0.0023051812,"about_ca_topic_score_gemma":0.0014198371,"teacher_disagreement_score":0.004731368,"about_ca_system_score_codex":0.0028938197,"about_ca_system_score_gemma":0.0025451304,"threshold_uncertainty_score":0.020996213},"labels":[],"label_agreement":null},{"id":"W3010352301","doi":"10.1109/tifs.2020.2978592","title":"Comments on “A Public Auditing Protocol With Novel Dynamic Structure for Cloud Data”","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"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 New Brunswick","funders":"China Scholarship Council; Education Department of Hunan Province","keywords":"Computer science; Computer security; Protocol (science); Audit; Cloud computing; Adversary; Business","score_opus":0.03513486277404401,"score_gpt":0.2722186262365035,"score_spread":0.2370837634624595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010352301","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031537886,0.0008994831,0.015056235,0.93777484,0.024839316,0.0001270228,0.00043584523,0.0005759311,0.017137542],"genre_scores_gemma":[0.04994169,0.0010661158,0.006411704,0.8959887,0.0146569135,0.00025039175,0.00025317882,0.00036337337,0.031067926],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9855935,0.005114464,0.0011896095,0.0016191793,0.0048345155,0.0016486594],"domain_scores_gemma":[0.94628423,0.032313757,0.0024805106,0.0024025913,0.015214415,0.0013044729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011881717,0.0009147073,0.00053476193,0.00090693677,0.0057258634,0.0033099472,0.002940329,0.024097987,0.0105508575],"category_scores_gemma":[0.07612533,0.000623884,0.0014727182,0.0010343549,0.004498971,0.0075495453,0.0026256868,0.018819407,0.0052167024],"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":[0.00009957938,0.000022852506,0.00060727075,0.0001144188,0.000017629956,0.00065682357,0.0015013019,0.00061763445,0.0009086209,0.049554005,0.93830407,0.007595885],"study_design_scores_gemma":[0.000045184705,0.00008031473,0.0008485009,0.0002702499,0.00003133918,0.0004412199,0.0018489173,0.0021005808,0.0029091563,0.013488401,0.97776175,0.00017432313],"about_ca_topic_score_codex":0.017736815,"about_ca_topic_score_gemma":0.013250313,"teacher_disagreement_score":0.024097987,"about_ca_system_score_codex":0.00716654,"about_ca_system_score_gemma":0.0056496635,"threshold_uncertainty_score":0.0628373},"labels":[],"label_agreement":null},{"id":"W3016918724","doi":"10.1109/tdsc.2020.2987793","title":"Achieving Efficient Secure Deduplication With User-Defined Access Control in Cloud","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Data deduplication; Computer science; Cloud computing; Cloud storage; Access control; Encryption; Computer security; Computer network; Service provider; Security analysis; Database; Service (business); Operating system","score_opus":0.01824822054756901,"score_gpt":0.24635451258394947,"score_spread":0.22810629203638047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016918724","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":[0.114510864,0.002061913,0.87865925,0.0005735339,0.00019986185,0.00032513286,0.00024700083,0.0007782888,0.0026442066],"genre_scores_gemma":[0.9262331,0.0006919697,0.07098154,0.00016756835,0.00010360158,0.0001031051,0.00017833918,0.000035559795,0.0015053276],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99681973,0.0006334343,0.0004103038,0.0005094231,0.0012202036,0.00040687362],"domain_scores_gemma":[0.99346983,0.0017101588,0.00070745836,0.0028212161,0.0010879205,0.0002034063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026123296,0.00064374757,0.001043726,0.0007374177,0.001251849,0.0017509809,0.0014928849,0.0008112372,0.0007294881],"category_scores_gemma":[0.005516861,0.0003988873,0.00063473464,0.0011238873,0.0011441621,0.0034470798,0.0026248156,0.000981523,0.00031721016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022794262,0.000679209,0.006179134,0.0012998709,0.00041265297,0.0028345403,0.002220603,0.19306023,0.23016426,0.20949614,0.011567782,0.33980608],"study_design_scores_gemma":[0.00023708447,0.0005730268,0.0011192474,0.00009296926,0.00013584034,0.002479276,0.0005082786,0.766956,0.1583918,0.056105215,0.013224099,0.00017718408],"about_ca_topic_score_codex":0.0007064032,"about_ca_topic_score_gemma":0.00077895663,"teacher_disagreement_score":0.0026123296,"about_ca_system_score_codex":0.0006754704,"about_ca_system_score_gemma":0.0018520039,"threshold_uncertainty_score":0.013815463},"labels":[],"label_agreement":null},{"id":"W3026011853","doi":"10.1109/icssa45270.2018.00013","title":"Integrating Security in Cloud Application Development Cycle","year":2018,"lang":"en","type":"article","venue":"","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":"Queen's University","funders":"","keywords":"Software as a service; Computer security; Security service; Cloud computing security; Computer science; Cloud computing; Security information and event management; Software security assurance; Computer security model; Security through obscurity; Information security; Process management; Risk analysis (engineering); Business; Software development; Software","score_opus":0.012898921389590017,"score_gpt":0.2653274920526546,"score_spread":0.25242857066306457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026011853","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":[0.35732192,0.0021114894,0.5608928,0.0035679142,0.00019141576,0.0013900928,0.00033634086,0.005343885,0.06884419],"genre_scores_gemma":[0.81384635,0.0008764503,0.17674856,0.00020450805,0.000030368463,0.00025832522,0.00028302296,0.0003683013,0.007384173],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997311,0.00077506487,0.00017907051,0.00038326453,0.0007846316,0.0005669739],"domain_scores_gemma":[0.99623716,0.0010872906,0.00047232164,0.00076246256,0.00096296007,0.00047784456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026545904,0.00047129812,0.00024753454,0.0016995376,0.0012892092,0.0033649013,0.0007537172,0.0006702339,0.0018346816],"category_scores_gemma":[0.0071477178,0.0006874812,0.00046608085,0.00090796483,0.0006656563,0.0027196775,0.002670997,0.0010159981,0.0011203383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034562574,0.00045596415,0.06273866,0.0003365697,0.00004818709,0.0010283133,0.0028965645,0.039587896,0.020715157,0.0738629,0.00542849,0.79255563],"study_design_scores_gemma":[0.00012111985,0.0010542074,0.06031077,0.00072703656,0.00020721044,0.0025245661,0.0036459686,0.49993408,0.061552543,0.13078395,0.23882385,0.00031474576],"about_ca_topic_score_codex":0.0071916734,"about_ca_topic_score_gemma":0.005098534,"teacher_disagreement_score":0.0071916734,"about_ca_system_score_codex":0.0020038222,"about_ca_system_score_gemma":0.0069719255,"threshold_uncertainty_score":0.014538765},"labels":[],"label_agreement":null},{"id":"W3030733186","doi":"10.1016/j.future.2020.02.010","title":"Security, Trust and Privacy in Cyber (STPCyber): Future trends and challenges","year":2020,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Cloud Data Security Solutions","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":"St. Francis Xavier University","funders":"","keywords":"Computer science; Variety (cybernetics); Computer security; Internet privacy; Trustworthiness; Internet of Things; Information privacy","score_opus":0.03460049182,"score_gpt":0.2374480905884734,"score_spread":0.2028475987684734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030733186","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017906671,0.46868947,0.021720566,0.3944775,0.006755789,0.000055032575,0.00047526474,0.00054613396,0.089373514],"genre_scores_gemma":[0.27591893,0.6021555,0.034235816,0.03965086,0.012954688,0.000112965856,0.0009177594,0.00019926284,0.03385412],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813664,0.00055597886,0.00009703339,0.00022210783,0.0005931597,0.00039516686],"domain_scores_gemma":[0.98823404,0.005102389,0.0014286891,0.00061320915,0.0022029723,0.0024186925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065723173,0.00032685712,0.0005923494,0.0013664998,0.0011211941,0.007855116,0.0010860193,0.0033641243,0.010263336],"category_scores_gemma":[0.0053159683,0.00019760907,0.00036125755,0.002702055,0.0038281712,0.0122389635,0.0037260677,0.00440955,0.0020511134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087191955,0.000103448845,0.0029014454,0.0012526194,0.000022042634,0.00015826669,0.00048729076,0.0009639201,0.0008089533,0.2695669,0.11860187,0.6050461],"study_design_scores_gemma":[0.000011191348,0.00018711199,0.0040344163,0.0022793333,0.000019166919,0.00080455496,0.0025167102,0.003908424,0.0008731704,0.1716763,0.8136381,0.00005154829],"about_ca_topic_score_codex":0.0023644473,"about_ca_topic_score_gemma":0.00352849,"teacher_disagreement_score":0.010263336,"about_ca_system_score_codex":0.0027330378,"about_ca_system_score_gemma":0.006374147,"threshold_uncertainty_score":0.03475815},"labels":[],"label_agreement":null},{"id":"W3033076903","doi":"10.1007/978-981-15-4374-6_3","title":"Cloud Storage Reliability","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cloud Data Security Solutions","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":"University of Waterloo","funders":"","keywords":"Computer science; Data integrity; Cloud computing; Reliability (semiconductor); Reliability engineering; Cloud storage; Data verification; Functional verification; Formal verification; Database; Operating system; Theoretical computer science","score_opus":0.017150830432074063,"score_gpt":0.2217038008228019,"score_spread":0.20455297039072784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033076903","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008065713,0.035751596,0.15806179,0.0057644756,0.004458077,0.00021459392,0.00066892203,0.0023543113,0.7846606],"genre_scores_gemma":[0.19319135,0.036808018,0.027958656,0.0012934658,0.0031289847,0.00019633735,0.0009079681,0.0010604974,0.7354547],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995443,0.000036365866,0.000015014718,0.00006435767,0.000303504,0.000036418896],"domain_scores_gemma":[0.9992442,0.00017378264,0.000053866424,0.00016083047,0.00033267465,0.00003462634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046863177,0.0007292979,0.00046338432,0.0008704869,0.000767729,0.0017735149,0.0009496694,0.00072418194,0.03491314],"category_scores_gemma":[0.0016586201,0.00034601122,0.00033492615,0.001277245,0.0006147189,0.0022649167,0.000948643,0.0013067686,0.011840099],"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":[0.00008953607,0.000056541743,0.00028838337,0.0006023434,0.000021024009,0.00012940227,0.00019815989,0.010730487,0.0098032905,0.18180686,0.2560712,0.54020274],"study_design_scores_gemma":[0.000014041879,0.00007808357,0.0010799996,0.00030673895,0.000029478844,0.0007969561,0.00015616229,0.030192733,0.011626598,0.119584106,0.8360983,0.00003674258],"about_ca_topic_score_codex":0.0020750011,"about_ca_topic_score_gemma":0.001980366,"teacher_disagreement_score":0.03491314,"about_ca_system_score_codex":0.0016220186,"about_ca_system_score_gemma":0.0011896477,"threshold_uncertainty_score":0.116796136},"labels":[],"label_agreement":null},{"id":"W3033735067","doi":"10.1007/978-981-15-4374-6_7","title":"Secure Data Time-Stamping","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cloud Data Security Solutions","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":"University of Waterloo","funders":"","keywords":"Computer science; Stamping; Construct (python library); Cloud computing; Scheme (mathematics); Cloud storage; Computer data storage; Computer security; Computer network; Operating system; Engineering; Mechanical engineering","score_opus":0.037363981721065836,"score_gpt":0.2414841011939077,"score_spread":0.20412011947284187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033735067","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":[0.0029577096,0.013120558,0.5008743,0.0014508577,0.0045325686,0.00015018998,0.00036714788,0.003272979,0.47327372],"genre_scores_gemma":[0.052588757,0.018092364,0.081701994,0.0007297567,0.0014066524,0.00014624101,0.00071813946,0.000883721,0.8437324],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995316,0.000037401514,0.000020845488,0.00005753088,0.00031443447,0.000038200094],"domain_scores_gemma":[0.9994822,0.00017671568,0.00003106013,0.00017328645,0.000116310955,0.000020402102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037204576,0.0010231029,0.00037175755,0.0010911042,0.0005853184,0.0021160278,0.0008644838,0.0007819948,0.038208753],"category_scores_gemma":[0.0012926715,0.00036472964,0.0002808438,0.0015338215,0.001158766,0.0030071493,0.0013356749,0.0016615576,0.025702571],"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":[0.00007106082,0.000029773828,0.00007750973,0.00027096443,0.000008676932,0.00014854934,0.0002754902,0.002619862,0.010924815,0.34207186,0.09357503,0.54992634],"study_design_scores_gemma":[0.0000073234123,0.000034930916,0.00006772032,0.000119441116,0.000008449275,0.00046258184,0.000070655035,0.0061216834,0.014543698,0.060867704,0.91767794,0.000017838209],"about_ca_topic_score_codex":0.00045054572,"about_ca_topic_score_gemma":0.00055187364,"teacher_disagreement_score":0.038208753,"about_ca_system_score_codex":0.0007548922,"about_ca_system_score_gemma":0.00060163403,"threshold_uncertainty_score":0.12782103},"labels":[],"label_agreement":null},{"id":"W3034053419","doi":"10.1007/978-981-15-4374-6","title":"Data Security in Cloud Storage","year":2020,"lang":"en","type":"book","venue":"Wireless networks","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"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":"Computer science; Cloud computing; Cloud storage; Cloud computing security; Data security; Computer security; Operating system; Encryption","score_opus":0.03249442825375061,"score_gpt":0.2577848118901411,"score_spread":0.22529038363639048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034053419","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012540952,0.05950979,0.031778518,0.0034240976,0.006879029,0.00011566788,0.00032387956,0.0011295532,0.89558536],"genre_scores_gemma":[0.0057413206,0.019630747,0.006046021,0.0010697228,0.0011949142,0.000050883642,0.0002629809,0.00030911638,0.9656942],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996886,0.000026019554,0.000009139264,0.000034612814,0.00021155452,0.00003003327],"domain_scores_gemma":[0.9996171,0.00012328703,0.000018891396,0.000070626906,0.00011995265,0.00004997081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798735,0.001216118,0.00071036944,0.0011369431,0.0009751595,0.0026739608,0.00081644824,0.0012400569,0.06560684],"category_scores_gemma":[0.00074488384,0.0004987053,0.00048171924,0.0020024031,0.00080302043,0.0034699158,0.0013357373,0.0027330923,0.03389871],"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":[0.00003387063,0.00004288007,0.0000784468,0.00030176993,0.0000106796615,0.00006479028,0.000078096855,0.0014372488,0.0020816515,0.05556818,0.65496653,0.28533578],"study_design_scores_gemma":[0.000005303813,0.000020294669,0.00025260242,0.00019243389,0.0000059264535,0.00017840779,0.000038226295,0.0023151347,0.0007736404,0.02026969,0.975938,0.000010339754],"about_ca_topic_score_codex":0.0028335573,"about_ca_topic_score_gemma":0.005234296,"teacher_disagreement_score":0.06560684,"about_ca_system_score_codex":0.0013812062,"about_ca_system_score_gemma":0.0013486821,"threshold_uncertainty_score":0.2194767},"labels":[],"label_agreement":null},{"id":"W3034680867","doi":"10.1002/ett.3990","title":"Analysis on homomorphic technique for data security in fog computing","year":2020,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Cloud computing; Client-side encryption; Homomorphic encryption; Encryption; Computer security; Server; Cryptography; Computer network; On-the-fly encryption; Operating system","score_opus":0.061649889541580086,"score_gpt":0.3202104429684451,"score_spread":0.258560553426865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034680867","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":[0.0810777,0.002772522,0.8879406,0.0012745345,0.00025074105,0.00022777819,0.00011414055,0.00019706134,0.026144985],"genre_scores_gemma":[0.94388986,0.0014078442,0.04905222,0.00022257661,0.000174358,0.0000901232,0.00008053692,0.000028936578,0.005053487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981324,0.0004188346,0.000073844705,0.00022617499,0.00082097267,0.0003276944],"domain_scores_gemma":[0.9968702,0.001634735,0.00027516615,0.0005022126,0.0006165043,0.00010114566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014101724,0.00048450445,0.00048754123,0.0013904341,0.0009442326,0.0019358506,0.00080501934,0.0009839451,0.0038408248],"category_scores_gemma":[0.004676608,0.00025165424,0.0011091147,0.0010142501,0.0015577007,0.0037575518,0.0010661108,0.0013769101,0.00047197542],"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":[0.00020139075,0.00012412414,0.0020686765,0.00031412975,0.00011194597,0.0009064897,0.0003192399,0.100326724,0.014858967,0.8181323,0.0053243274,0.057311635],"study_design_scores_gemma":[0.00002855555,0.00015124842,0.0010947271,0.00007374655,0.000053227282,0.0012876656,0.00015729642,0.7645887,0.008528854,0.21793394,0.0060555274,0.00004649802],"about_ca_topic_score_codex":0.0013240454,"about_ca_topic_score_gemma":0.00062951347,"teacher_disagreement_score":0.0038408248,"about_ca_system_score_codex":0.0017242169,"about_ca_system_score_gemma":0.0014935917,"threshold_uncertainty_score":0.012848854},"labels":[],"label_agreement":null},{"id":"W3040732418","doi":"10.21742/ijcsite.2020.5.1.02","title":"Significant Security Aspects in Cloud Computing Based Data Centers","year":2020,"lang":"en","type":"article","venue":"International Journal of Computer Science and Information Technology for Education","topic":"Cloud Data Security Solutions","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":"Université du Québec à Montréal","funders":"","keywords":"Computer security; Cloud computing; Computer science; Measure (data warehouse); Key (lock); Interface (matter); Closeness; Cryptography; World Wide Web; Data science; Internet privacy; Database; Operating system; Mathematics","score_opus":0.018928022832921644,"score_gpt":0.29325812455659267,"score_spread":0.274330101723671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040732418","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":[0.58906657,0.017770726,0.084944844,0.078320496,0.001338807,0.00039992653,0.0006350031,0.00036600756,0.22715767],"genre_scores_gemma":[0.98740023,0.0019233868,0.003940542,0.0008057106,0.00019483997,0.000024558509,0.000076112134,0.00003544407,0.00559919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99530715,0.0015306179,0.00026444398,0.00047099142,0.0014316007,0.0009951856],"domain_scores_gemma":[0.9961294,0.0011403547,0.0007038689,0.00052788534,0.0010492613,0.00044929195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035199765,0.00026056453,0.00023447761,0.00092904456,0.005443895,0.007712514,0.0007708924,0.0018014987,0.004909145],"category_scores_gemma":[0.0054384344,0.00026361053,0.00034226244,0.0014741697,0.0026156462,0.006783459,0.0021099015,0.0021122943,0.0008022992],"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":[0.0002804448,0.00013484483,0.035130896,0.00039528825,0.00003876482,0.0019024143,0.0068941726,0.009818604,0.0063641975,0.8356172,0.022623137,0.08080007],"study_design_scores_gemma":[0.00003655368,0.00030313144,0.0411683,0.00071772595,0.00010418061,0.006320504,0.036480125,0.06611216,0.015222055,0.45000413,0.38334405,0.00018696129],"about_ca_topic_score_codex":0.007039552,"about_ca_topic_score_gemma":0.0057159066,"teacher_disagreement_score":0.007712514,"about_ca_system_score_codex":0.003907202,"about_ca_system_score_gemma":0.0034173098,"threshold_uncertainty_score":0.028348863},"labels":[],"label_agreement":null},{"id":"W3042550670","doi":"10.18280/ijsse.100315","title":"A Crypto Scheme Using Data Obfuscation of Entity Detection and Replacement for Private Cloud","year":2020,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Obfuscation; Cloud computing; Scheme (mathematics); Computer science; Computer security; Operating system; Mathematics","score_opus":0.0324424723731305,"score_gpt":0.27359885026139713,"score_spread":0.24115637788826663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042550670","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":[0.13537861,0.0027430758,0.83899915,0.0022987872,0.000764204,0.00066211127,0.0004186862,0.0015379845,0.017197408],"genre_scores_gemma":[0.82524186,0.0009302918,0.16238096,0.00032105247,0.00012785007,0.00027661715,0.00030514022,0.00004869488,0.010367551],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833506,0.00041435234,0.00012938154,0.00027991488,0.00050327735,0.00033809035],"domain_scores_gemma":[0.9983126,0.00037108062,0.00028133154,0.00070147973,0.00021813133,0.00011532057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010216832,0.0005895082,0.0007779796,0.0010608577,0.0013607758,0.0011595859,0.0009421943,0.0012899572,0.0024285344],"category_scores_gemma":[0.0027161129,0.0003220749,0.00086373085,0.001261771,0.0016123756,0.003454584,0.002073859,0.001527413,0.0007491055],"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":[0.0026720439,0.0005043876,0.003359358,0.0010213649,0.00023596204,0.0018914121,0.0012450826,0.033485197,0.15543967,0.49505267,0.011641017,0.2934518],"study_design_scores_gemma":[0.00090965995,0.0018547616,0.002901562,0.0005403376,0.00037786848,0.009911932,0.00041230308,0.4030932,0.3333812,0.14267628,0.10341432,0.0005265492],"about_ca_topic_score_codex":0.00051882816,"about_ca_topic_score_gemma":0.0003973066,"teacher_disagreement_score":0.0024285344,"about_ca_system_score_codex":0.0010200931,"about_ca_system_score_gemma":0.001554071,"threshold_uncertainty_score":0.008124232},"labels":[],"label_agreement":null},{"id":"W3081854684","doi":"10.1109/tii.2020.3021013","title":"LEVER: Secure Deduplicated Cloud Storage With Encrypted Two-Party Interactions in Cyber--Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Data deduplication; Computer science; Encryption; Cloud computing; Homomorphic encryption; Client-side encryption; Cloud storage; Upload; Computer security; Cryptography; Computer network; On-the-fly encryption; Operating system","score_opus":0.0606812881620232,"score_gpt":0.2743571910991093,"score_spread":0.21367590293708608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081854684","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":[0.21659929,0.002118276,0.7700186,0.0007650765,0.00029136628,0.0005603168,0.00026748423,0.0018185533,0.0075610676],"genre_scores_gemma":[0.96544325,0.00020760366,0.03251417,0.0000772009,0.000036659916,0.00007815682,0.000067513945,0.000026659876,0.0015487794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998176,0.00043193693,0.00014923155,0.00020593464,0.000676808,0.00036008924],"domain_scores_gemma":[0.9975206,0.0006616258,0.00031906745,0.001108394,0.00029070346,0.000099535384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014746176,0.00044195045,0.000616015,0.0005172754,0.0010044604,0.0012846586,0.0011589073,0.00068701163,0.0016932986],"category_scores_gemma":[0.0029784632,0.00022874166,0.000438216,0.0006353674,0.0009232471,0.0037011958,0.0026288058,0.000967514,0.00036677835],"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":[0.0029124054,0.00064964104,0.0045696427,0.0011194098,0.00035324375,0.0036373069,0.0014327988,0.27982104,0.14139639,0.32793903,0.012744785,0.22342438],"study_design_scores_gemma":[0.00019095362,0.0008695419,0.0010729609,0.00007108492,0.00008502081,0.002027016,0.00030796934,0.85308754,0.090659365,0.038489956,0.013008922,0.00012962951],"about_ca_topic_score_codex":0.0004987766,"about_ca_topic_score_gemma":0.00044036505,"teacher_disagreement_score":0.0016932986,"about_ca_system_score_codex":0.0006639052,"about_ca_system_score_gemma":0.0010685734,"threshold_uncertainty_score":0.007798612},"labels":[],"label_agreement":null},{"id":"W3083181312","doi":"10.1002/ett.4108","title":"Integrating encryption techniques for secure data storage in the cloud","year":2020,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Computer security; Utility computing; Encryption; Access control; Elasticity (physics); Outsourcing; Business","score_opus":0.06651299196105308,"score_gpt":0.32032765674316316,"score_spread":0.25381466478211007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083181312","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":[0.36418426,0.0037041195,0.59745216,0.0017784978,0.00039532446,0.0003413615,0.00022771959,0.0013972443,0.03051922],"genre_scores_gemma":[0.91137874,0.00072448974,0.08403287,0.00008504523,0.000027480295,0.00003520493,0.000064238186,0.000036266723,0.0036156012],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992799,0.00017947402,0.00007179073,0.00005150704,0.00028661438,0.00013066243],"domain_scores_gemma":[0.9988086,0.00032963743,0.00011956714,0.00043055357,0.00028359535,0.000027979153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006124913,0.00025142208,0.0002516209,0.0005063031,0.0005551597,0.0010543907,0.00054533227,0.0004220508,0.0031244622],"category_scores_gemma":[0.001615016,0.00015437574,0.00037282478,0.0005110014,0.00051210413,0.0019491331,0.00107018,0.0005176853,0.00078188186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012283152,0.00051920785,0.0090117315,0.00069234153,0.00014704367,0.0017804668,0.0008459778,0.14824942,0.2850048,0.21603364,0.0074864505,0.3290006],"study_design_scores_gemma":[0.00009656445,0.00046919516,0.0024372442,0.00012337466,0.00008527009,0.0014365178,0.00038700373,0.62883955,0.30515227,0.02706203,0.03384319,0.000067756904],"about_ca_topic_score_codex":0.000980791,"about_ca_topic_score_gemma":0.0010054307,"teacher_disagreement_score":0.0031244622,"about_ca_system_score_codex":0.0005720578,"about_ca_system_score_gemma":0.0007196667,"threshold_uncertainty_score":0.01045239},"labels":[],"label_agreement":null},{"id":"W3089041741","doi":"10.1109/tbdata.2020.3026318","title":"On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Big Data","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"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 New Brunswick","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Big data; Protocol (science); Audit; Computer security; Cryptographic protocol; Cryptography; Data mining","score_opus":0.22039325091568981,"score_gpt":0.37304155498988695,"score_spread":0.15264830407419713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089041741","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":[0.038208727,0.0017138784,0.926151,0.007196273,0.0008222181,0.00064781314,0.00019923958,0.0007666152,0.024294194],"genre_scores_gemma":[0.813696,0.0021660144,0.1673488,0.0020541605,0.00047762392,0.0008655006,0.00023550505,0.00017685676,0.012979536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98452383,0.005116978,0.001381374,0.001490294,0.0060866424,0.0014008757],"domain_scores_gemma":[0.9684691,0.013715228,0.0023550477,0.010278522,0.0044807224,0.00070131803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011233777,0.00076337956,0.0011434768,0.0018115193,0.0035318043,0.004983234,0.0026084075,0.003200937,0.0023247278],"category_scores_gemma":[0.028052835,0.0008085284,0.0009581507,0.0019029694,0.005398785,0.018558,0.00875642,0.005925449,0.0009777467],"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":[0.00040911537,0.00009006678,0.00096996163,0.0002761397,0.000051504325,0.00049987854,0.0015229762,0.008963812,0.008748633,0.9342877,0.004091983,0.040088125],"study_design_scores_gemma":[0.0001946226,0.00050761725,0.00063254376,0.00041199249,0.00017618472,0.0022055262,0.0010802045,0.27063584,0.06449901,0.5748559,0.08445006,0.00035053474],"about_ca_topic_score_codex":0.0010362817,"about_ca_topic_score_gemma":0.00039371915,"teacher_disagreement_score":0.011233777,"about_ca_system_score_codex":0.0027205,"about_ca_system_score_gemma":0.0042658597,"threshold_uncertainty_score":0.059410572},"labels":[],"label_agreement":null},{"id":"W3094827892","doi":"10.1145/3411495.3421358","title":"bpfbox","year":2020,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; System call; Simple (philosophy); Linux kernel; Operating system; Process (computing); Function (biology); Code (set theory); Cloud computing; Kernel (algebra); Source lines of code; Key (lock); Distributed computing; Programming language; Software; Set (abstract data type)","score_opus":0.03604151739707908,"score_gpt":0.24797278045314033,"score_spread":0.21193126305606125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094827892","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010923387,0.0008888389,0.7553749,0.0015315332,0.0007990778,0.0011738114,0.0047504553,0.17680354,0.04775451],"genre_scores_gemma":[0.2033722,0.0019451587,0.62566644,0.0047548935,0.0004758609,0.0035868809,0.018015306,0.05247577,0.08970752],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99706036,0.0003763343,0.0002622756,0.00072384084,0.0011472448,0.0004298471],"domain_scores_gemma":[0.9960651,0.0011013396,0.0002800025,0.0011735064,0.0011206425,0.00025946353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038308748,0.0016476538,0.000820821,0.0013277461,0.001701363,0.004450802,0.0038704167,0.0022928775,0.026453983],"category_scores_gemma":[0.0108165415,0.0015739406,0.0015253577,0.00086598145,0.0018194165,0.0076123113,0.0039073094,0.0038912927,0.01852897],"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":[0.0020003475,0.00067434803,0.004106447,0.0021766145,0.00011587854,0.00095080904,0.0015832292,0.012837881,0.019583013,0.3089965,0.26255885,0.38441616],"study_design_scores_gemma":[0.00020563163,0.00022867067,0.0009956579,0.000572797,0.00006436931,0.0007133359,0.00027990423,0.056906026,0.022937134,0.13000539,0.78695047,0.00014060382],"about_ca_topic_score_codex":0.00831518,"about_ca_topic_score_gemma":0.004309101,"teacher_disagreement_score":0.026453983,"about_ca_system_score_codex":0.002545208,"about_ca_system_score_gemma":0.0034412635,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3109134412","doi":"10.32628/cseit1833773","title":"Case Study of Cloud Computing Security and Emerging Security Research Challenges","year":2020,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Cloud Data Security Solutions","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":"Concordia University","funders":"","keywords":"Cloud computing; Flexibility (engineering); Cloud computing security; Computer security; Computer science; Perspective (graphical); Internet privacy","score_opus":0.07509852632905815,"score_gpt":0.3649560293300371,"score_spread":0.28985750300097896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109134412","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61606115,0.011954614,0.058504116,0.04425299,0.0007920568,0.0011738846,0.00098289,0.00040802997,0.26587033],"genre_scores_gemma":[0.9553065,0.004358679,0.0186334,0.0012363254,0.00016735139,0.0001546166,0.00026216576,0.000060327744,0.01982064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953622,0.0018116382,0.00021112326,0.00028188544,0.0013824499,0.00095074665],"domain_scores_gemma":[0.9965249,0.0013767912,0.00037878915,0.00032007523,0.00061967125,0.0007798004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026205522,0.00040557515,0.0003950024,0.0019038626,0.0070912293,0.005176365,0.0013418563,0.003766922,0.004454603],"category_scores_gemma":[0.0036123246,0.0002027042,0.00075725466,0.0038652157,0.0028990528,0.004054546,0.0029863222,0.002229499,0.0007920608],"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":[0.00052619283,0.0009538332,0.038020253,0.0011197071,0.000098865974,0.09578821,0.023953581,0.01924708,0.006717685,0.66384226,0.062250994,0.08748132],"study_design_scores_gemma":[0.00009799433,0.00047905027,0.017748972,0.00096239126,0.00008900617,0.04872052,0.09403138,0.072369,0.010459623,0.1021473,0.6527121,0.00018265286],"about_ca_topic_score_codex":0.011886722,"about_ca_topic_score_gemma":0.013829525,"teacher_disagreement_score":0.011886722,"about_ca_system_score_codex":0.003495429,"about_ca_system_score_gemma":0.0034643898,"threshold_uncertainty_score":0.02536118},"labels":[],"label_agreement":null},{"id":"W3109218172","doi":"10.1109/tdsc.2020.3036641","title":"Identity-Based Provable Data Possession From RSA Assumption for Secure Cloud Storage","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Homomorphic encryption; Computer science; Cloud computing; Cloud storage; Data integrity; Outsourcing; Computer security; Theoretical computer science; Database; Encryption; Operating system","score_opus":0.060196595810714855,"score_gpt":0.2966887080416012,"score_spread":0.23649211223088634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109218172","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":[0.028837752,0.0016351196,0.9454503,0.0019057436,0.0002509604,0.00032598202,0.00067427946,0.0010435167,0.01987623],"genre_scores_gemma":[0.866065,0.0019347892,0.1235875,0.00054224406,0.00040247975,0.00044657945,0.0006250772,0.00019936566,0.006196973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994909,0.0011692783,0.00037934817,0.00079306826,0.0020961948,0.0006531785],"domain_scores_gemma":[0.9950873,0.0016958511,0.0004680542,0.0021702247,0.00043763797,0.00014091717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020388898,0.0006357787,0.0011665745,0.0006077547,0.001452822,0.0030177946,0.0018588027,0.0013365657,0.008281551],"category_scores_gemma":[0.008357667,0.00046234345,0.0012417802,0.0013119457,0.0020642143,0.007827997,0.004153821,0.0031560368,0.0027806647],"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":[0.00073903333,0.00018392995,0.0010475821,0.0007921781,0.000082378596,0.0010667992,0.0007304777,0.05593862,0.03289246,0.8196891,0.009617029,0.07722039],"study_design_scores_gemma":[0.00015706122,0.00026759022,0.000503229,0.00019674825,0.00007115936,0.0016355966,0.0002998638,0.4879806,0.03627901,0.44391716,0.028548049,0.00014385668],"about_ca_topic_score_codex":0.0006728772,"about_ca_topic_score_gemma":0.000385396,"teacher_disagreement_score":0.008281551,"about_ca_system_score_codex":0.001494559,"about_ca_system_score_gemma":0.002649965,"threshold_uncertainty_score":0.027704597},"labels":[],"label_agreement":null},{"id":"W3154781724","doi":"10.1109/tdsc.2021.3074146","title":"Secure Password-Protected Encryption Key for Deduplicated Cloud Storage Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":87,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Password; Server; Encryption; Data deduplication; Computer security; Computer network; Cloud computing; Authentication (law); S/KEY; Operating system","score_opus":0.019947460979481642,"score_gpt":0.24600901987333149,"score_spread":0.22606155889384985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154781724","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":[0.07465435,0.0024235656,0.91583997,0.0004394633,0.00028494594,0.00041785376,0.00032207445,0.0013367794,0.0042810184],"genre_scores_gemma":[0.868445,0.0009051258,0.1261479,0.00013100287,0.00007240657,0.00018739974,0.00035613705,0.000051068622,0.0037040024],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987779,0.0002559164,0.00020150059,0.00016107217,0.00047525624,0.00012834017],"domain_scores_gemma":[0.9984213,0.00024688264,0.00017827455,0.0007118419,0.00036433496,0.00007736287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000898128,0.00053775,0.0006039258,0.0004718483,0.0006576079,0.0010975186,0.001114933,0.0006122438,0.0019556503],"category_scores_gemma":[0.0022363854,0.00027536496,0.00035178673,0.00050705916,0.00046129903,0.0037606999,0.0015653223,0.000790108,0.0010411182],"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":[0.0024418284,0.00052022404,0.0043197474,0.0021708587,0.00028593282,0.0022582961,0.0009800114,0.049579766,0.33937728,0.2530638,0.014132137,0.33087015],"study_design_scores_gemma":[0.00038884915,0.0010716107,0.0017779609,0.00017141676,0.00018479468,0.004170086,0.0003522611,0.5623738,0.30729678,0.055030987,0.06698372,0.0001976786],"about_ca_topic_score_codex":0.00019148407,"about_ca_topic_score_gemma":0.00020598207,"teacher_disagreement_score":0.0019556503,"about_ca_system_score_codex":0.0004223921,"about_ca_system_score_gemma":0.0006678269,"threshold_uncertainty_score":0.006542325},"labels":[],"label_agreement":null},{"id":"W3164152537","doi":"10.18280/ijsse.110208","title":"Cryptographic Solution for Security Problem in Cloud Computing Storage During Global Pandemics","year":2021,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Cloud computing security; Computer science; Computer security; Cloud testing; Cryptography; Cloud storage; Software portability; Elasticity (physics); Operating system","score_opus":0.00891428224452123,"score_gpt":0.2444643169245651,"score_spread":0.23555003468004387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164152537","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":[0.13194177,0.0065689096,0.8134553,0.01248041,0.0012419114,0.0006192733,0.0003856282,0.00093750155,0.03236924],"genre_scores_gemma":[0.86842,0.002591304,0.11497948,0.0007137111,0.0004950151,0.00018718875,0.0003509799,0.00006381836,0.012198438],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975962,0.0005925362,0.00021649314,0.00032228354,0.0008444139,0.00042809756],"domain_scores_gemma":[0.9971488,0.0007966002,0.000380451,0.0007256808,0.00083791424,0.000110453686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001472909,0.0004746556,0.0007007445,0.0009060251,0.0022683395,0.0022737775,0.0013897701,0.0018901099,0.0032063886],"category_scores_gemma":[0.0043053157,0.00029617277,0.0009049109,0.0011294031,0.001105495,0.0051161563,0.002729683,0.0017165452,0.0010776098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013702249,0.0003324874,0.008104982,0.0014520161,0.00032935268,0.0042829476,0.0020041273,0.09130569,0.07608244,0.37788567,0.047163516,0.38968655],"study_design_scores_gemma":[0.00017797481,0.0004982624,0.0024023724,0.00032856557,0.00019895543,0.008606309,0.0023411992,0.60875696,0.08036202,0.21168247,0.084446825,0.0001980375],"about_ca_topic_score_codex":0.00096254953,"about_ca_topic_score_gemma":0.00084202155,"teacher_disagreement_score":0.0032063886,"about_ca_system_score_codex":0.0011703952,"about_ca_system_score_gemma":0.0018221325,"threshold_uncertainty_score":0.0107265115},"labels":[],"label_agreement":null},{"id":"W3168665946","doi":"10.32604/csse.2021.015437","title":"A Data Security Framework for Cloud Computing Services","year":2021,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Computer security; Data security; Risk analysis (engineering); Encryption; Business","score_opus":0.028381428383996477,"score_gpt":0.26562800137839143,"score_spread":0.23724657299439494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168665946","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":[0.00321947,0.000501934,0.9779333,0.0018389545,0.000118917495,0.00067263754,0.00018270369,0.00070741185,0.0148246735],"genre_scores_gemma":[0.09807887,0.00070638827,0.8936687,0.0004205032,0.00012781302,0.0008907042,0.00036966577,0.00019731343,0.005540013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947525,0.0012916173,0.00058935524,0.000566377,0.0022953346,0.0005047767],"domain_scores_gemma":[0.9974968,0.00058781344,0.00024815486,0.00046964013,0.00090378337,0.00029367584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063997386,0.0012134365,0.00062233757,0.0036639036,0.0031161297,0.006834994,0.0031746074,0.002911997,0.003297319],"category_scores_gemma":[0.0043710372,0.0008356415,0.0023723566,0.002044386,0.0041797943,0.0058300444,0.0040089814,0.0041544796,0.0012510307],"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":[0.000012964768,0.000041078005,0.00025719314,0.00010155005,0.000013354951,0.00011199946,0.0003330668,0.013382358,0.0013682129,0.97035325,0.0022619963,0.011762943],"study_design_scores_gemma":[0.00006205634,0.00014464046,0.0006191437,0.0005079678,0.000068894,0.0006305862,0.0006056434,0.28922158,0.0043983846,0.41484997,0.28879306,0.00009812021],"about_ca_topic_score_codex":0.015934443,"about_ca_topic_score_gemma":0.012088757,"teacher_disagreement_score":0.015934443,"about_ca_system_score_codex":0.004599248,"about_ca_system_score_gemma":0.009235089,"threshold_uncertainty_score":0.033845425},"labels":[],"label_agreement":null},{"id":"W3184255911","doi":"10.3390/computers10070089","title":"Distributed Interoperable Records: The Key to Better Supply Chain Management","year":2021,"lang":"en","type":"article","venue":"Computers","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Key (lock); Supply chain; Computer science; Data exchange; Distributed ledger; Information exchange; Process management; Supply chain management; State (computer science); Electronic data interchange; Knowledge management; Computer security; Database; World Wide Web; Business; Telecommunications; Blockchain","score_opus":0.015610758516892604,"score_gpt":0.23206084758176942,"score_spread":0.2164500890648768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184255911","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":[0.013313097,0.018519377,0.8687795,0.049555685,0.0012126748,0.00029864704,0.00066063786,0.0019864768,0.045673862],"genre_scores_gemma":[0.268123,0.04262581,0.6556239,0.006763942,0.00285076,0.0003801847,0.0023295635,0.0005815952,0.020721363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898906,0.0028292274,0.0009540291,0.001683402,0.0039604846,0.0006822223],"domain_scores_gemma":[0.97706693,0.0060728467,0.0024919158,0.009571594,0.0037974138,0.0009992996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010167349,0.00057473825,0.0009953486,0.0034329921,0.0024685992,0.015949838,0.0044860845,0.004433146,0.007470798],"category_scores_gemma":[0.021241305,0.0006597139,0.0010951812,0.010420255,0.0042326166,0.045095585,0.0110566905,0.0053148135,0.004159008],"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":[0.000067009794,0.00010412845,0.0016608065,0.00086701656,0.000059168993,0.0001626644,0.0011589783,0.0053896033,0.0023451087,0.7020693,0.016130637,0.26998565],"study_design_scores_gemma":[0.000039485803,0.00011062182,0.000998229,0.0012180707,0.00007480373,0.0004926656,0.0020538946,0.018053455,0.005161457,0.4972811,0.47441864,0.000097536584],"about_ca_topic_score_codex":0.0021221673,"about_ca_topic_score_gemma":0.0014813972,"teacher_disagreement_score":0.015949838,"about_ca_system_score_codex":0.0036536392,"about_ca_system_score_gemma":0.0063390327,"threshold_uncertainty_score":0.05377072},"labels":[],"label_agreement":null},{"id":"W3184550865","doi":"10.1142/s0218126622500104","title":"Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-Based Optimization Algorithm","year":2021,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Single point of failure; Computer network; File system; Confidentiality; Distributed hash table; Computer security; Hash function; Distributed File System; Peer-to-peer; Operating system","score_opus":0.03927322129361103,"score_gpt":0.2815183754618521,"score_spread":0.24224515416824108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184550865","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":[0.07356038,0.00035591002,0.9195619,0.00037891575,0.000056782257,0.00016382584,0.00014148971,0.0006781157,0.005102597],"genre_scores_gemma":[0.775325,0.00016526687,0.21971877,0.00006345978,0.00003054393,0.00017341372,0.00019215918,0.000043717002,0.0042877207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965477,0.00007003128,0.000018439956,0.00006911605,0.000109104396,0.000078424586],"domain_scores_gemma":[0.99934906,0.0003207412,0.00008307402,0.00006734343,0.0001159735,0.00006394508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000686161,0.0004685094,0.0010186649,0.00051578606,0.00079657394,0.0010409158,0.0011365651,0.000720346,0.004834895],"category_scores_gemma":[0.0016786859,0.00023783541,0.00040633636,0.0008202506,0.00050082424,0.0009389302,0.0009535018,0.00046260402,0.0004223905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012767993,0.00007029703,0.0006267712,0.000048421734,0.000022275772,0.000044248303,0.000051623476,0.9375948,0.0019795992,0.005144446,0.0013735646,0.052916247],"study_design_scores_gemma":[0.000015546471,0.000026639435,0.0000824428,0.0000020956393,0.0000042709275,0.000012952219,0.000012966319,0.9979036,0.00034763946,0.0013208209,0.00026827908,0.0000027867175],"about_ca_topic_score_codex":0.011652902,"about_ca_topic_score_gemma":0.010594118,"teacher_disagreement_score":0.011652902,"about_ca_system_score_codex":0.001132247,"about_ca_system_score_gemma":0.0018105996,"threshold_uncertainty_score":0.023170114},"labels":[],"label_agreement":null},{"id":"W3189398647","doi":"10.1007/978-3-030-75855-4_15","title":"Analytical Approach for Security of Sensitive Business Cloud","year":2021,"lang":"en","type":"book-chapter","venue":"Studies in big data","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sheridan College","funders":"","keywords":"Cloud computing security; Cloud computing; Computer security; Computer science; Security through obscurity; Security service; Computer security model; Data security; Security information and event management; Authentication (law); Information security; Encryption","score_opus":0.24257205573162838,"score_gpt":0.35626023396045875,"score_spread":0.11368817822883037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189398647","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":[0.007917279,0.010157518,0.79708123,0.006498012,0.00093873614,0.00014515544,0.0002531261,0.00027585807,0.17673312],"genre_scores_gemma":[0.5369463,0.026759295,0.2871262,0.0023738842,0.0024422256,0.0003959799,0.00058047014,0.0004106328,0.14296502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994111,0.00017029548,0.00002344621,0.00006940604,0.00024786545,0.000077928154],"domain_scores_gemma":[0.9991684,0.00047722095,0.00005166752,0.000107039006,0.00015758057,0.00003803331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010004954,0.0008287679,0.0005455264,0.0018802878,0.0010461456,0.0031758407,0.001240777,0.0010039891,0.007423463],"category_scores_gemma":[0.002108034,0.0004293646,0.0010909068,0.0017917422,0.0016366778,0.003613928,0.0014946559,0.0025066899,0.0014774934],"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":[0.0000058180303,0.00003411508,0.00019504734,0.00007097911,0.000010979928,0.000102621605,0.00019812078,0.009002902,0.0007139538,0.9631716,0.008075992,0.01841788],"study_design_scores_gemma":[0.0000015458423,0.000011560287,0.00020519807,0.00008521083,0.000009716022,0.00018292027,0.00023173708,0.08180543,0.0006083516,0.87955654,0.0372897,0.000012092095],"about_ca_topic_score_codex":0.0021764445,"about_ca_topic_score_gemma":0.0018663619,"teacher_disagreement_score":0.007423463,"about_ca_system_score_codex":0.0025107074,"about_ca_system_score_gemma":0.0018534388,"threshold_uncertainty_score":0.024833977},"labels":[],"label_agreement":null},{"id":"W3191014639","doi":"10.32920/ryerson.14668344.v1","title":"Privacy-preserving public auditing with data deduplication in cloud computing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Revocation; Cloud storage; Audit; Data integrity; Computer security; Database; Scheme (mathematics); Key (lock); Accounting; Business; Operating system","score_opus":0.08950591221170671,"score_gpt":0.31015033095689903,"score_spread":0.2206444187451923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191014639","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":[0.06227759,0.0013166757,0.9296652,0.0012428074,0.00016270104,0.00033720623,0.0002316664,0.00064079626,0.004125385],"genre_scores_gemma":[0.8615628,0.000878891,0.13387473,0.00015602043,0.00011872374,0.00014072385,0.00016173074,0.000072239054,0.0030340978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9927683,0.002631783,0.00047676917,0.0010866687,0.0020110975,0.0010253189],"domain_scores_gemma":[0.98733354,0.004398388,0.0013140412,0.0056227087,0.001029401,0.00030190768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057825875,0.0005405399,0.0011699921,0.0009495604,0.0020462945,0.0037428166,0.001993996,0.0012424322,0.0012320223],"category_scores_gemma":[0.01197067,0.0006568399,0.0009716488,0.00267759,0.0019700965,0.007017805,0.0038246925,0.0021560518,0.00047658902],"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":[0.0017339621,0.00088620296,0.0064222445,0.0008404784,0.00024137314,0.0015084354,0.0015102203,0.20115992,0.03551351,0.4557193,0.009597288,0.28486705],"study_design_scores_gemma":[0.00012744298,0.00025902022,0.001137271,0.00011962334,0.000088372435,0.001304835,0.00048281773,0.76937646,0.039209615,0.17413366,0.013656302,0.00010454898],"about_ca_topic_score_codex":0.0014674145,"about_ca_topic_score_gemma":0.001059582,"teacher_disagreement_score":0.0057825875,"about_ca_system_score_codex":0.00213436,"about_ca_system_score_gemma":0.0040641055,"threshold_uncertainty_score":0.030581594},"labels":[],"label_agreement":null},{"id":"W3192407087","doi":"10.32920/ryerson.14654145.v1","title":"Secure Data Deduplication in Cloud Environments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Upload; Cloud storage; Encryption; Computer security; Service provider; Data security; Database; Computer network; Service (business); Operating system","score_opus":0.05321095790573612,"score_gpt":0.29449292889654594,"score_spread":0.2412819709908098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192407087","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":[0.24135022,0.004138129,0.7405519,0.0015807607,0.00046420284,0.0008590243,0.0008362499,0.0015203261,0.0086992225],"genre_scores_gemma":[0.8764917,0.0016258467,0.116572954,0.0002011269,0.00011360744,0.00017208545,0.00043004853,0.00008950693,0.00430313],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780864,0.0005122402,0.00022462041,0.0003165155,0.0008451223,0.00029289795],"domain_scores_gemma":[0.99417454,0.0015303451,0.0005554862,0.0026817236,0.00085261377,0.00020533575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021950484,0.00050171436,0.0007405896,0.0008247729,0.0017828811,0.001970584,0.0011487461,0.00092618406,0.0012405206],"category_scores_gemma":[0.005078307,0.00030888297,0.0005172838,0.0012212563,0.0010145478,0.0032688382,0.002823562,0.00096868357,0.0005383796],"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":[0.0035917293,0.000749963,0.007979079,0.0017376505,0.00033295373,0.0034023877,0.002649992,0.13912247,0.17004313,0.19506808,0.022074867,0.45324767],"study_design_scores_gemma":[0.00035105174,0.0005099814,0.0024070276,0.00020715906,0.00012501173,0.0028854008,0.0014758097,0.64713395,0.25081888,0.060020745,0.03391719,0.00014775385],"about_ca_topic_score_codex":0.0011423586,"about_ca_topic_score_gemma":0.0010944527,"teacher_disagreement_score":0.0021950484,"about_ca_system_score_codex":0.00091063726,"about_ca_system_score_gemma":0.0016273771,"threshold_uncertainty_score":0.01160866},"labels":[],"label_agreement":null},{"id":"W3196419531","doi":"10.1109/tsp52935.2021.9522673","title":"Mobile Cloud Computing Framework for Securing Data","year":2021,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Cloud computing; Computer security; Mobile cloud computing; Cloud computing security; Mobile computing; Mobile device; Data security; Authentication (law); Encryption; Computer network; Operating system","score_opus":0.05726454764370612,"score_gpt":0.3315036027254269,"score_spread":0.27423905508172075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196419531","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":[0.009055034,0.006572109,0.90221894,0.0030038,0.0013619999,0.0016110754,0.0012508262,0.009205093,0.065721154],"genre_scores_gemma":[0.3278767,0.0077519417,0.6054505,0.0016840217,0.0007237032,0.0015167602,0.0031984993,0.00094751833,0.050850198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982895,0.00024637685,0.00012759573,0.0001778983,0.0008308212,0.0003278391],"domain_scores_gemma":[0.9991084,0.00007075528,0.00006547951,0.00025374978,0.00033175442,0.00016983446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013346666,0.0007498461,0.0008475871,0.0011408987,0.0016573786,0.0031641347,0.0026177033,0.0011386723,0.0050510424],"category_scores_gemma":[0.001947201,0.00036305064,0.0010082974,0.0017970128,0.00085655873,0.0028421069,0.0029702869,0.0021115858,0.0039206683],"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":[0.00024725593,0.0001543886,0.0012016098,0.00063321844,0.00011489775,0.0010332754,0.00045621628,0.02301399,0.012731533,0.67756987,0.09287128,0.18997245],"study_design_scores_gemma":[0.00010741257,0.00016320085,0.0008147065,0.00029713826,0.00007272779,0.0013418297,0.00024114059,0.21969917,0.009183547,0.109330185,0.658637,0.00011202807],"about_ca_topic_score_codex":0.007392272,"about_ca_topic_score_gemma":0.007381332,"teacher_disagreement_score":0.007392272,"about_ca_system_score_codex":0.0017190196,"about_ca_system_score_gemma":0.00395521,"threshold_uncertainty_score":0.01689744},"labels":[],"label_agreement":null},{"id":"W3197133180","doi":"10.17762/de.vi.3993","title":"An Enhanced Access Control Mechanism for Mobile Cloud Computing","year":2021,"lang":"en","type":"article","venue":"Design Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Access control; Computer science; Computer security; Discretionary access control; Cloud computing security; Role-based access control; Computer access control; Data access; Authorization; Database; Operating system","score_opus":0.022746194825127145,"score_gpt":0.2724174038596763,"score_spread":0.24967120903454915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197133180","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":[0.019948525,0.00092484994,0.9701524,0.00041325396,0.00019720395,0.00051543606,0.000074050215,0.0021868881,0.005587466],"genre_scores_gemma":[0.6677129,0.0007235498,0.32124063,0.0003745042,0.00021906846,0.00043109234,0.00021423143,0.00011360225,0.00897049],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957748,0.0009371237,0.00044408345,0.0005930969,0.0016776604,0.00057323254],"domain_scores_gemma":[0.99678206,0.0006301009,0.0003070477,0.0009685491,0.0010459098,0.00026630604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029501629,0.00043822854,0.00056204497,0.0017299586,0.0013557147,0.0022641725,0.0020169578,0.0011659109,0.002167396],"category_scores_gemma":[0.004968903,0.00030452822,0.0009029799,0.0012598868,0.0010875558,0.0034568745,0.0017313813,0.0014825976,0.00066503364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008183956,0.00065248366,0.0052003004,0.0006474851,0.00019721941,0.0014353787,0.0012736168,0.025585158,0.086785436,0.41889188,0.012030258,0.44648236],"study_design_scores_gemma":[0.00024672205,0.0008965498,0.002848983,0.00020294166,0.00034713576,0.0034351207,0.00030058032,0.6617096,0.0829926,0.07847464,0.16821817,0.0003269459],"about_ca_topic_score_codex":0.002494788,"about_ca_topic_score_gemma":0.0014471896,"teacher_disagreement_score":0.0029501629,"about_ca_system_score_codex":0.001165667,"about_ca_system_score_gemma":0.0016732479,"threshold_uncertainty_score":0.015602112},"labels":[],"label_agreement":null},{"id":"W3211839048","doi":"10.32920/ryerson.14653434.v1","title":"Scalable Blockchain-assisted Log Storage System for Cloud-generated Logs","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Immutability; Scalability; Cloud computing; Computer science; Blockchain; Computer security; Scope (computer science); Component (thermodynamics); Service (business); Database; Business; Operating system","score_opus":0.03559635004794381,"score_gpt":0.26454082249412764,"score_spread":0.22894447244618382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211839048","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":[0.18604508,0.00078976335,0.7397018,0.0013978386,0.0004198892,0.0018718154,0.0023475063,0.05468084,0.0127455145],"genre_scores_gemma":[0.9157445,0.00023888925,0.07354599,0.00022083406,0.00007978463,0.0005586151,0.0015396405,0.00032552343,0.007746296],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984664,0.00029545624,0.0001477341,0.00025326962,0.00056967034,0.00026755326],"domain_scores_gemma":[0.9956741,0.00089823996,0.00035174898,0.0017031317,0.00081550895,0.00055721024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016378999,0.00065981207,0.0008569905,0.00096221204,0.0016963079,0.00194457,0.002090786,0.0008808848,0.008609107],"category_scores_gemma":[0.0046955454,0.00043891877,0.0003165383,0.00093112886,0.00069329655,0.0039587338,0.0037277618,0.0011362783,0.002432686],"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":[0.008049397,0.0021961832,0.019164171,0.0010182147,0.00024595627,0.0034723866,0.001984843,0.10569397,0.10193202,0.04852034,0.062231388,0.6454911],"study_design_scores_gemma":[0.0005628565,0.00044530458,0.0017497884,0.00006630524,0.00006507371,0.000473065,0.00028073412,0.91909677,0.034626357,0.022783333,0.01974596,0.00010438752],"about_ca_topic_score_codex":0.0031191304,"about_ca_topic_score_gemma":0.0039883154,"teacher_disagreement_score":0.008609107,"about_ca_system_score_codex":0.0009424951,"about_ca_system_score_gemma":0.003166245,"threshold_uncertainty_score":0.028800368},"labels":[],"label_agreement":null},{"id":"W4200062885","doi":"10.1145/3485832.3485886","title":"Rocky: Replicating Block Devices for Tamper and Failure Resistant Edge-based Virtualized Desktop Infrastructure","year":2021,"lang":"en","type":"article","venue":"Annual Computer Security Applications Conference","topic":"Cloud Data Security Solutions","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 Toronto","funders":"","keywords":"Computer science; Block (permutation group theory); Enhanced Data Rates for GSM Evolution; Tamper resistance; Operating system; Embedded system; Edge computing; Computer security; Telecommunications","score_opus":0.012884785229684238,"score_gpt":0.25680813132982844,"score_spread":0.2439233461001442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200062885","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":[0.28084868,0.00345632,0.65507925,0.0003917601,0.0004926688,0.0009370769,0.0006673095,0.047090776,0.011036217],"genre_scores_gemma":[0.86533487,0.00037096057,0.12594485,0.00018521081,0.0000509683,0.0002958152,0.0005937183,0.0006752631,0.0065483428],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899286,0.00017185061,0.00009559757,0.00015806728,0.00037610735,0.00020548691],"domain_scores_gemma":[0.99763215,0.00030433675,0.0002609981,0.0013195475,0.00030226944,0.0001805572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007341953,0.00062419026,0.00053324056,0.00070010003,0.00050872884,0.0007647605,0.0023920564,0.000547733,0.0039174166],"category_scores_gemma":[0.0027615998,0.00035709876,0.0004233495,0.00038871588,0.0006246432,0.0018590213,0.0024427022,0.00077212387,0.0014263543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036416957,0.0006097648,0.015930828,0.0011446652,0.00034415393,0.0026932785,0.0017264398,0.055131458,0.39751378,0.034975924,0.042531833,0.44375622],"study_design_scores_gemma":[0.0007522743,0.0030511015,0.0053046523,0.00013974684,0.0002449174,0.0025212183,0.00040203222,0.5070809,0.36023194,0.0074899895,0.112477176,0.0003039811],"about_ca_topic_score_codex":0.0013803849,"about_ca_topic_score_gemma":0.0012307386,"teacher_disagreement_score":0.0039174166,"about_ca_system_score_codex":0.0005067671,"about_ca_system_score_gemma":0.00063724985,"threshold_uncertainty_score":0.013105094},"labels":[],"label_agreement":null},{"id":"W4205183029","doi":"10.1111/1911-3846.12594","title":"<i>CAR</i> Ad Hoc Reviewers 2019 / <i>RCC</i> Réviseurs ad hoc 2019","year":2020,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Post hoc; Post-hoc analysis; Citation; Computer science; Information retrieval; World Wide Web; Medicine","score_opus":0.09403479972831899,"score_gpt":0.34581741879360683,"score_spread":0.25178261906528787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205183029","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005472202,0.004988466,0.0010982446,0.1308687,0.5187971,0.00042001545,0.002605955,0.0012367435,0.33943757],"genre_scores_gemma":[0.003485503,0.0023328797,0.00074759766,0.016975801,0.06285601,0.00014608042,0.0011002091,0.00070115423,0.9116547],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914254,0.00067057245,0.00064296974,0.0008870118,0.005400793,0.0009732917],"domain_scores_gemma":[0.92364657,0.0036915569,0.0024677748,0.0033619234,0.061196454,0.00563569],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0066125016,0.0012418726,0.0014242823,0.0050529144,0.0046323426,0.013783478,0.0030899635,0.006598383,0.43267563],"category_scores_gemma":[0.03899669,0.000764681,0.0012663063,0.0029539692,0.0018877579,0.0045264484,0.0027333184,0.0067552873,0.28735194],"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":[0.000011133989,0.0000048847796,0.000049187016,0.000041960007,0.000002102116,0.00002184941,0.000010106953,0.000011999637,0.000050419476,0.00076242955,0.99269027,0.0063436567],"study_design_scores_gemma":[0.0000073475226,0.0000053296617,0.00014737544,0.000080857724,0.0000038081093,0.000024363568,0.00006717733,0.000046431265,0.00010761229,0.00052490254,0.99897504,0.000009753372],"about_ca_topic_score_codex":0.020692991,"about_ca_topic_score_gemma":0.04489955,"teacher_disagreement_score":0.9933875,"about_ca_system_score_codex":0.0074852663,"about_ca_system_score_gemma":0.013565111,"threshold_uncertainty_score":0.80921936},"labels":[],"label_agreement":null},{"id":"W4205207211","doi":"10.1109/jbhi.2022.3140831","title":"An Efficient Privacy-Preserving Public Auditing Protocol for Cloud-Based Medical Storage System","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"King Saud University; National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Cloud storage; Protocol (science); Audit; Computer security; Information privacy; Internet privacy; Business; Operating system; Accounting; Medicine","score_opus":0.06611312149357979,"score_gpt":0.36092929842644544,"score_spread":0.29481617693286566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205207211","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":[0.052920774,0.0007750815,0.9371761,0.0016740476,0.00024910166,0.00075722754,0.0002815503,0.0017470813,0.004419003],"genre_scores_gemma":[0.89168084,0.00046830016,0.10305831,0.00035583953,0.00011737319,0.0004688326,0.0002823165,0.00007263284,0.0034955838],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950606,0.0014544782,0.0006246039,0.0005476077,0.0015829009,0.0007297956],"domain_scores_gemma":[0.994103,0.0016785425,0.0007665475,0.0021685234,0.0009889394,0.00029449575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033161794,0.0005090558,0.0011014165,0.00070695346,0.002159848,0.0022733957,0.0019073543,0.0013482089,0.0022658512],"category_scores_gemma":[0.006354908,0.00046429955,0.000730115,0.0012602936,0.0012676893,0.005149639,0.0050142054,0.0018354527,0.00043082394],"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":[0.0032430687,0.0009470926,0.0058712508,0.0010004794,0.00033845362,0.0028389783,0.002267194,0.17567727,0.10023805,0.3384447,0.027598225,0.34153527],"study_design_scores_gemma":[0.00027472945,0.0003637287,0.0008022579,0.00006989061,0.0001244461,0.0012522967,0.00030575634,0.8873152,0.041735414,0.05329519,0.014311337,0.00014979963],"about_ca_topic_score_codex":0.0014461935,"about_ca_topic_score_gemma":0.0008605976,"teacher_disagreement_score":0.0033161794,"about_ca_system_score_codex":0.0013116078,"about_ca_system_score_gemma":0.005890446,"threshold_uncertainty_score":0.017537832},"labels":[],"label_agreement":null},{"id":"W4214945104","doi":"10.1016/j.compeleceng.2022.107833","title":"Risk monitoring strategy for confidentiality of healthcare information","year":2022,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Confidentiality; Encryption; Computer security; Computer science; Health care; Modular design; Risk analysis (engineering); Business; Law","score_opus":0.016173535287177614,"score_gpt":0.255189943161551,"score_spread":0.23901640787437342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214945104","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":[0.12111213,0.001471855,0.78666437,0.013636035,0.00035946196,0.0014173898,0.00038543134,0.0018759412,0.07307738],"genre_scores_gemma":[0.91591257,0.00036696883,0.076524206,0.000700956,0.00015655022,0.0001630677,0.00015933035,0.00003931829,0.0059769894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924516,0.0027716726,0.00037848446,0.0008022433,0.0028842443,0.0007116702],"domain_scores_gemma":[0.9819256,0.0070592184,0.0026771077,0.0023216698,0.005102039,0.00091436045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008603664,0.0008439662,0.00076043216,0.0029397781,0.002080147,0.005543131,0.0021956488,0.0021162159,0.005800665],"category_scores_gemma":[0.024706332,0.00037759598,0.000759865,0.0010022661,0.0009749254,0.005016721,0.0034843632,0.0022233923,0.0010655152],"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":[0.0011413333,0.0010245873,0.02426362,0.00041353662,0.00026949443,0.0014407991,0.0026517743,0.043873325,0.027002066,0.35567078,0.027767885,0.51448077],"study_design_scores_gemma":[0.00017708201,0.00086952926,0.009879635,0.00060047663,0.00046920404,0.0021110217,0.0026606543,0.65851426,0.043716323,0.24314888,0.037651364,0.00020155124],"about_ca_topic_score_codex":0.0023689126,"about_ca_topic_score_gemma":0.0013034088,"teacher_disagreement_score":0.008603664,"about_ca_system_score_codex":0.0023862422,"about_ca_system_score_gemma":0.0058704037,"threshold_uncertainty_score":0.045501053},"labels":[],"label_agreement":null},{"id":"W4220909747","doi":"10.1111/1911-3846.12762","title":"<i>CAR</i> Ad Hoc Reviewers 2021 / <i>RCC</i> Réviseurs ad hoc 2021","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Post hoc; Post-hoc analysis; Citation; Computer science; Library science; Medicine; Internal medicine","score_opus":0.07500945108637368,"score_gpt":0.34295813819738274,"score_spread":0.26794868711100905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220909747","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036429008,0.007007125,0.0010507288,0.21537307,0.63048977,0.00021048533,0.001873736,0.00066902285,0.14296176],"genre_scores_gemma":[0.008169994,0.007324233,0.0017559202,0.05888118,0.20175225,0.00023495193,0.0018985788,0.0011596901,0.71882313],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98928297,0.0011225303,0.0010487989,0.0012015993,0.006470944,0.0008732293],"domain_scores_gemma":[0.85538423,0.007263293,0.004013052,0.004318408,0.12426783,0.0047530946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008278974,0.0012763317,0.0016013371,0.006629609,0.0051660077,0.010402088,0.0034002576,0.005938538,0.25137806],"category_scores_gemma":[0.06646976,0.00079226505,0.0012272835,0.0040912703,0.0019272967,0.0049853013,0.0024462466,0.007319164,0.16854285],"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":[0.000008755177,0.0000036141016,0.00005014729,0.000039360235,0.000002446921,0.000021347016,0.0000143704265,0.000009515099,0.00002666853,0.0007600103,0.9945229,0.0045409375],"study_design_scores_gemma":[0.000008080241,0.0000049161326,0.00023083613,0.00014829412,0.000008863456,0.00004626278,0.0001530953,0.00006477113,0.00013356001,0.0006955461,0.99849224,0.000013624678],"about_ca_topic_score_codex":0.034567952,"about_ca_topic_score_gemma":0.055189326,"teacher_disagreement_score":0.25137806,"about_ca_system_score_codex":0.008404465,"about_ca_system_score_gemma":0.011611949,"threshold_uncertainty_score":0.8409434},"labels":[],"label_agreement":null},{"id":"W4225128201","doi":"10.18280/ijsse.120201","title":"A Comprehensive Analysis on Secured Data Storage with User Validation and Resource Allocation in Cloud for Performance Enhancement","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Resource allocation; Computer science; Resource (disambiguation); Reliability engineering; Computer network; Engineering; Operating system","score_opus":0.016058221152012844,"score_gpt":0.24836478055254754,"score_spread":0.23230655940053468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225128201","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":[0.1580207,0.011535169,0.79490185,0.0024297596,0.00023647159,0.00029151648,0.00038399198,0.00080148084,0.031399105],"genre_scores_gemma":[0.9636768,0.00415713,0.026527502,0.00012669463,0.00008536122,0.00007405089,0.0001918204,0.000051282444,0.005109387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983083,0.00037277892,0.00007509654,0.00020376519,0.00078932504,0.00025070048],"domain_scores_gemma":[0.9986588,0.00048572916,0.00012809133,0.00014136737,0.00052282447,0.00006310762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013199345,0.0006764205,0.00058547966,0.0011968628,0.0009836035,0.0018031382,0.00091404037,0.0007034611,0.0020859076],"category_scores_gemma":[0.0027941216,0.00033664537,0.00094099314,0.0016220299,0.00057775434,0.0035032774,0.00072187197,0.0006864006,0.00030097394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034304324,0.00026216917,0.015060101,0.0007997828,0.00014766924,0.0005034824,0.0003607402,0.6245916,0.012425966,0.12228559,0.0073387795,0.21588106],"study_design_scores_gemma":[0.000006850123,0.00010952277,0.0030967214,0.000055390967,0.000057553898,0.00020627104,0.00011781935,0.9746372,0.0036124305,0.0125550525,0.005510847,0.000034321212],"about_ca_topic_score_codex":0.009979254,"about_ca_topic_score_gemma":0.0056779436,"teacher_disagreement_score":0.009979254,"about_ca_system_score_codex":0.0021870742,"about_ca_system_score_gemma":0.0025848954,"threshold_uncertainty_score":0.019842327},"labels":[],"label_agreement":null},{"id":"W4226254115","doi":"10.26686/wgtn.17006083.v1","title":"Government Cloud Computing Strategies:  Management of Information Risk and Impact on  Concepts and Practices of Information Management","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; Australian Government","keywords":"Cloud computing; Government (linguistics); Business; Process (computing); Information management; Knowledge management; Risk management; Process management; Political science; Computer science; Finance","score_opus":0.011170227422569654,"score_gpt":0.3069891121324255,"score_spread":0.29581888470985584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226254115","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":[0.504897,0.006405535,0.0225218,0.1471692,0.00019730823,0.0006043787,0.00016663273,0.00015632006,0.31788185],"genre_scores_gemma":[0.99168956,0.0014812099,0.0039249784,0.0012656151,0.000028579561,0.00007015532,0.000018532028,0.000021716714,0.0014996178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9478457,0.036035206,0.001762974,0.0014968532,0.009262062,0.0035970942],"domain_scores_gemma":[0.91678905,0.054614723,0.011169249,0.0053061037,0.008121447,0.0039994973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025588125,0.00040602346,0.00038620975,0.0037895886,0.007314288,0.0213126,0.0017052444,0.0027522983,0.0036308134],"category_scores_gemma":[0.053025763,0.00035136606,0.00058604014,0.0072882012,0.014646708,0.011047377,0.006479355,0.0038519406,0.00049413857],"study_design_candidate":"qualitative","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":[0.00010715003,0.0004256514,0.0376079,0.00081409555,0.00007808664,0.0007934201,0.16230044,0.002281654,0.0011309967,0.6164822,0.009365908,0.16861252],"study_design_scores_gemma":[0.000065509994,0.0003602938,0.041950986,0.0032346619,0.00011588221,0.0007801879,0.5123603,0.006989092,0.0040923995,0.246895,0.18300843,0.00014731444],"about_ca_topic_score_codex":0.025296833,"about_ca_topic_score_gemma":0.017550677,"teacher_disagreement_score":0.025588125,"about_ca_system_score_codex":0.024967054,"about_ca_system_score_gemma":0.044233777,"threshold_uncertainty_score":0.18114948},"labels":[],"label_agreement":null},{"id":"W4226396690","doi":"10.26686/wgtn.17006083","title":"Government Cloud Computing Strategies: Management of Information Risk and Impact on Concepts and Practices of Information Management","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; Australian Government","keywords":"Cloud computing; Government (linguistics); Process (computing); Business; Information management; Knowledge management; Risk management; Process management; Computer science; Finance","score_opus":0.011170227422569654,"score_gpt":0.3069891121324255,"score_spread":0.29581888470985584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226396690","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":[0.504897,0.006405535,0.0225218,0.1471692,0.00019730823,0.0006043787,0.00016663273,0.00015632006,0.31788185],"genre_scores_gemma":[0.99168956,0.0014812099,0.0039249784,0.0012656151,0.000028579561,0.00007015532,0.000018532028,0.000021716714,0.0014996178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9478457,0.036035206,0.001762974,0.0014968532,0.009262062,0.0035970942],"domain_scores_gemma":[0.91678905,0.054614723,0.011169249,0.0053061037,0.008121447,0.0039994973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025588125,0.00040602346,0.00038620975,0.0037895886,0.007314288,0.0213126,0.0017052444,0.0027522983,0.0036308134],"category_scores_gemma":[0.053025763,0.00035136606,0.00058604014,0.0072882012,0.014646708,0.011047377,0.006479355,0.0038519406,0.00049413857],"study_design_candidate":"qualitative","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":[0.00010715003,0.0004256514,0.0376079,0.00081409555,0.00007808664,0.0007934201,0.16230044,0.002281654,0.0011309967,0.6164822,0.009365908,0.16861252],"study_design_scores_gemma":[0.000065509994,0.0003602938,0.041950986,0.0032346619,0.00011588221,0.0007801879,0.5123603,0.006989092,0.0040923995,0.246895,0.18300843,0.00014731444],"about_ca_topic_score_codex":0.025296833,"about_ca_topic_score_gemma":0.017550677,"teacher_disagreement_score":0.025588125,"about_ca_system_score_codex":0.024967054,"about_ca_system_score_gemma":0.044233777,"threshold_uncertainty_score":0.18114948},"labels":[],"label_agreement":null},{"id":"W4234774431","doi":"10.1145/2484402","title":"Proceedings of the 2013 international workshop on Security in cloud computing","year":2013,"lang":"en","type":"paratext","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Computer security; Trusted Computing; Information security; Audit; Access control; Internet privacy; World Wide Web; Business","score_opus":0.02077218023009031,"score_gpt":0.275113361428063,"score_spread":0.25434118119797267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234774431","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011014611,0.08460875,0.17124596,0.12056503,0.27662748,0.001556262,0.0021422424,0.0027990367,0.32944062],"genre_scores_gemma":[0.08071528,0.07216737,0.07410188,0.010953885,0.062262338,0.0010227603,0.007591837,0.002508711,0.68867594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995462,0.00119942,0.00027293386,0.0005399079,0.0018973462,0.0006282929],"domain_scores_gemma":[0.99423087,0.0010726822,0.00016138387,0.0005610687,0.0024179008,0.0015560067],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005029929,0.0013709702,0.0013426974,0.0015654347,0.0022233,0.006994526,0.0021808862,0.00243205,0.05388727],"category_scores_gemma":[0.007917885,0.0005022283,0.0013739556,0.0016844367,0.0013145811,0.0059711984,0.003653014,0.0057359003,0.021695338],"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":[0.00014600165,0.00011754318,0.00032930844,0.00035736363,0.000036464575,0.00022949818,0.00038408066,0.0011303636,0.0014461651,0.016702404,0.86073166,0.11838928],"study_design_scores_gemma":[0.0000188118,0.00004472749,0.0004739345,0.00031880554,0.000019434952,0.0002583468,0.00030816882,0.0025379187,0.0009641855,0.008853439,0.9861747,0.000027668486],"about_ca_topic_score_codex":0.0038936425,"about_ca_topic_score_gemma":0.006685802,"teacher_disagreement_score":0.94611275,"about_ca_system_score_codex":0.0028488243,"about_ca_system_score_gemma":0.005111299,"threshold_uncertainty_score":0.18027091},"labels":[],"label_agreement":null},{"id":"W4236486867","doi":"10.1145/3267494","title":"Proceedings of the 1st Workshop on Security-Oriented Designs of Computer Architectures and Processors","year":2018,"lang":"en","type":"paratext","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; x86; Information security; Computer security; Architecture; Pleasure; Cloud computing security; Encryption; Enterprise information security architecture; Operating system; Software; History; Psychology","score_opus":0.02280452525905416,"score_gpt":0.2667229504117828,"score_spread":0.24391842515272863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236486867","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011153208,0.05517354,0.6452293,0.027981615,0.04915301,0.0006063324,0.0009775528,0.0028621426,0.2068633],"genre_scores_gemma":[0.1032483,0.047031738,0.28117844,0.0050597875,0.019186372,0.0011013781,0.0031989652,0.0038144104,0.5361806],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963856,0.0011537056,0.00024418932,0.0004182093,0.0014622505,0.00033598227],"domain_scores_gemma":[0.9969913,0.0009777555,0.00010256259,0.00064157083,0.00096762966,0.00031906847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004791821,0.0018797624,0.00092523894,0.0012813159,0.0010683419,0.004624274,0.0016300335,0.0019239655,0.039247584],"category_scores_gemma":[0.00594857,0.0010521209,0.0011845868,0.0009688349,0.0015816053,0.004145842,0.0025162953,0.006118108,0.011446983],"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":[0.00042914742,0.00025725222,0.00057541777,0.00067151495,0.00012555599,0.00031718548,0.0007180992,0.008847555,0.008793461,0.16664529,0.48168445,0.3309349],"study_design_scores_gemma":[0.000047928457,0.00014311851,0.0002284368,0.0002478561,0.000034345103,0.00025239994,0.00008272335,0.0067671747,0.004371986,0.050569396,0.9372258,0.000028739021],"about_ca_topic_score_codex":0.0011474863,"about_ca_topic_score_gemma":0.0021805645,"teacher_disagreement_score":0.039247584,"about_ca_system_score_codex":0.00209076,"about_ca_system_score_gemma":0.00234765,"threshold_uncertainty_score":0.13129622},"labels":[],"label_agreement":null},{"id":"W4237466260","doi":"10.32920/ryerson.14653434","title":"Scalable Blockchain-assisted Log Storage System for Cloud-generated Logs","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Immutability; Scalability; Cloud computing; Computer science; Blockchain; Scope (computer science); Computer security; Component (thermodynamics); Service (business); Database; Business; Operating system","score_opus":0.03559635004794381,"score_gpt":0.26454082249412764,"score_spread":0.22894447244618382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237466260","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":[0.18604508,0.00078976335,0.7397018,0.0013978386,0.0004198892,0.0018718154,0.0023475063,0.05468084,0.0127455145],"genre_scores_gemma":[0.9157445,0.00023888925,0.07354599,0.00022083406,0.00007978463,0.0005586151,0.0015396405,0.00032552343,0.007746296],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984664,0.00029545624,0.0001477341,0.00025326962,0.00056967034,0.00026755326],"domain_scores_gemma":[0.9956741,0.00089823996,0.00035174898,0.0017031317,0.00081550895,0.00055721024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016378999,0.00065981207,0.0008569905,0.00096221204,0.0016963079,0.00194457,0.002090786,0.0008808848,0.008609107],"category_scores_gemma":[0.0046955454,0.00043891877,0.0003165383,0.00093112886,0.00069329655,0.0039587338,0.0037277618,0.0011362783,0.002432686],"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":[0.008049397,0.0021961832,0.019164171,0.0010182147,0.00024595627,0.0034723866,0.001984843,0.10569397,0.10193202,0.04852034,0.062231388,0.6454911],"study_design_scores_gemma":[0.0005628565,0.00044530458,0.0017497884,0.00006630524,0.00006507371,0.000473065,0.00028073412,0.91909677,0.034626357,0.022783333,0.01974596,0.00010438752],"about_ca_topic_score_codex":0.0031191304,"about_ca_topic_score_gemma":0.0039883154,"teacher_disagreement_score":0.008609107,"about_ca_system_score_codex":0.0009424951,"about_ca_system_score_gemma":0.003166245,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4237715804","doi":"10.1007/978-1-4939-7131-2_100563","title":"Keyword Clouds","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"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 Calgary","funders":"","keywords":"Computer science","score_opus":0.03027290831461444,"score_gpt":0.2511832521085082,"score_spread":0.2209103437938938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237715804","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042436915,0.008119061,0.015229278,0.0026938836,0.0053564697,0.00007436689,0.0006018344,0.0008054982,0.96669525],"genre_scores_gemma":[0.0047532725,0.009506417,0.0044651437,0.0011681513,0.0016329311,0.000054523513,0.0006383089,0.0007590978,0.9770222],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999718,0.000026902575,0.000009344768,0.000054401007,0.00015628683,0.00003511325],"domain_scores_gemma":[0.99980503,0.000036866382,0.0000124810695,0.00003876481,0.000063436775,0.000043472282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019825678,0.0011691288,0.0005690443,0.0013640455,0.0009284185,0.0043385755,0.0009864809,0.0009893252,0.24628572],"category_scores_gemma":[0.0009094155,0.00032134308,0.00033014896,0.00306215,0.0007076868,0.0061477628,0.0023038797,0.0017484316,0.15370657],"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":[0.0000140406355,0.000019537323,0.000044654465,0.00023501097,0.000003379488,0.00004526157,0.0001138121,0.0005714409,0.0010067575,0.15890671,0.65978044,0.17925893],"study_design_scores_gemma":[0.0000013575334,0.0000024318667,0.000026468259,0.00005489803,9.737272e-7,0.00004159267,0.00003642615,0.00015542677,0.00010096379,0.01449367,0.98508334,0.0000025297181],"about_ca_topic_score_codex":0.0025736843,"about_ca_topic_score_gemma":0.004616616,"teacher_disagreement_score":0.24628572,"about_ca_system_score_codex":0.0013158552,"about_ca_system_score_gemma":0.0015047122,"threshold_uncertainty_score":0.82390785},"labels":[],"label_agreement":null},{"id":"W4239146633","doi":"10.32920/ryerson.14668344","title":"Privacy-preserving public auditing with data deduplication in cloud computing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Revocation; Cloud storage; Audit; Data integrity; Computer security; Database; Key (lock); Information privacy; Scheme (mathematics); Encryption; Accounting; Business","score_opus":0.08950591221170671,"score_gpt":0.31015033095689903,"score_spread":0.2206444187451923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239146633","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":[0.06227759,0.0013166757,0.9296652,0.0012428074,0.00016270104,0.00033720623,0.0002316664,0.00064079626,0.004125385],"genre_scores_gemma":[0.8615628,0.000878891,0.13387473,0.00015602043,0.00011872374,0.00014072385,0.00016173074,0.000072239054,0.0030340978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9927683,0.002631783,0.00047676917,0.0010866687,0.0020110975,0.0010253189],"domain_scores_gemma":[0.98733354,0.004398388,0.0013140412,0.0056227087,0.001029401,0.00030190768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057825875,0.0005405399,0.0011699921,0.0009495604,0.0020462945,0.0037428166,0.001993996,0.0012424322,0.0012320223],"category_scores_gemma":[0.01197067,0.0006568399,0.0009716488,0.00267759,0.0019700965,0.007017805,0.0038246925,0.0021560518,0.00047658902],"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":[0.0017339621,0.00088620296,0.0064222445,0.0008404784,0.00024137314,0.0015084354,0.0015102203,0.20115992,0.03551351,0.4557193,0.009597288,0.28486705],"study_design_scores_gemma":[0.00012744298,0.00025902022,0.001137271,0.00011962334,0.000088372435,0.001304835,0.00048281773,0.76937646,0.039209615,0.17413366,0.013656302,0.00010454898],"about_ca_topic_score_codex":0.0014674145,"about_ca_topic_score_gemma":0.001059582,"teacher_disagreement_score":0.0057825875,"about_ca_system_score_codex":0.00213436,"about_ca_system_score_gemma":0.0040641055,"threshold_uncertainty_score":0.030581594},"labels":[],"label_agreement":null},{"id":"W4244499999","doi":"10.32920/ryerson.14654145","title":"Secure Data Deduplication in Cloud Environments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Upload; Cloud storage; Encryption; Computer security; Service provider; Data security; Database; Computer network; Service (business); Operating system","score_opus":0.05321095790573612,"score_gpt":0.29449292889654594,"score_spread":0.2412819709908098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244499999","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":[0.24135022,0.004138129,0.7405519,0.0015807607,0.00046420284,0.0008590243,0.0008362499,0.0015203261,0.0086992225],"genre_scores_gemma":[0.8764917,0.0016258467,0.116572954,0.0002011269,0.00011360744,0.00017208545,0.00043004853,0.00008950693,0.00430313],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780864,0.0005122402,0.00022462041,0.0003165155,0.0008451223,0.00029289795],"domain_scores_gemma":[0.99417454,0.0015303451,0.0005554862,0.0026817236,0.00085261377,0.00020533575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021950484,0.00050171436,0.0007405896,0.0008247729,0.0017828811,0.001970584,0.0011487461,0.00092618406,0.0012405206],"category_scores_gemma":[0.005078307,0.00030888297,0.0005172838,0.0012212563,0.0010145478,0.0032688382,0.002823562,0.00096868357,0.0005383796],"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":[0.0035917293,0.000749963,0.007979079,0.0017376505,0.00033295373,0.0034023877,0.002649992,0.13912247,0.17004313,0.19506808,0.022074867,0.45324767],"study_design_scores_gemma":[0.00035105174,0.0005099814,0.0024070276,0.00020715906,0.00012501173,0.0028854008,0.0014758097,0.64713395,0.25081888,0.060020745,0.03391719,0.00014775385],"about_ca_topic_score_codex":0.0011423586,"about_ca_topic_score_gemma":0.0010944527,"teacher_disagreement_score":0.0021950484,"about_ca_system_score_codex":0.00091063726,"about_ca_system_score_gemma":0.0016273771,"threshold_uncertainty_score":0.01160866},"labels":[],"label_agreement":null},{"id":"W4249536876","doi":"10.1145/1867635","title":"Proceedings of the fifth ACM workshop on Scalable trusted computing","year":2010,"lang":"en","type":"paratext","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trusted Computing; Computer science; IBM; Scalability; Virtualization; Variety (cybernetics); World Wide Web; Computer security; Cloud computing; Operating system","score_opus":0.02733744583680462,"score_gpt":0.2773835873325042,"score_spread":0.25004614149569954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249536876","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011937792,0.07536215,0.35349002,0.10146413,0.10565744,0.0009969221,0.0023974667,0.0044949288,0.34419918],"genre_scores_gemma":[0.15275028,0.052478816,0.13698342,0.007907641,0.033654705,0.001003697,0.009648052,0.0028609608,0.60271245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99422836,0.0017697879,0.00036030973,0.000790948,0.002224861,0.00062570395],"domain_scores_gemma":[0.99196446,0.0025677006,0.00022916742,0.0016018961,0.0024662525,0.0011705233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075115943,0.0014399614,0.0013748758,0.0012525527,0.0018959634,0.007667387,0.0022335015,0.0023693522,0.036994588],"category_scores_gemma":[0.011594712,0.000690274,0.0011686232,0.0014693751,0.002196026,0.007307903,0.0039844965,0.006692597,0.014741357],"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":[0.00033561848,0.00014541534,0.0004542551,0.00031207874,0.00006852512,0.0002788094,0.00054462417,0.0028021256,0.0017077818,0.06879598,0.7457312,0.1788236],"study_design_scores_gemma":[0.00004356945,0.000060094368,0.00033479164,0.0002481832,0.000028934797,0.00020053188,0.00017396845,0.0064699007,0.0011494495,0.028161524,0.9630991,0.000029984596],"about_ca_topic_score_codex":0.005142862,"about_ca_topic_score_gemma":0.0054786224,"teacher_disagreement_score":0.036994588,"about_ca_system_score_codex":0.0029221685,"about_ca_system_score_gemma":0.0043829503,"threshold_uncertainty_score":0.12375921},"labels":[],"label_agreement":null},{"id":"W4254521006","doi":"10.1007/978-981-15-4374-6_1","title":"Introduction","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"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":"Computer science","score_opus":0.014664718045604189,"score_gpt":0.21125991680561892,"score_spread":0.19659519876001474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254521006","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023083185,0.0027671743,0.0038966031,0.0015795585,0.003582829,0.000092760216,0.0008998851,0.00058063393,0.9863697],"genre_scores_gemma":[0.000540278,0.0013713643,0.0007644805,0.00056022836,0.00043811442,0.000035836045,0.0005554961,0.00014297762,0.9955913],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952435,0.000039498653,0.0000142689605,0.00008960633,0.00027999136,0.000052200612],"domain_scores_gemma":[0.9994349,0.000079772515,0.000018923507,0.00007221817,0.00028408648,0.00011014718],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00044543706,0.0009604251,0.00052750733,0.0017982415,0.0012070668,0.0039864066,0.0013992306,0.0015163776,0.5607622],"category_scores_gemma":[0.0016023307,0.00034754685,0.00046922266,0.0016358162,0.0004960244,0.0030174889,0.0020156913,0.0016702772,0.47637892],"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":[0.000015595731,0.000034595956,0.00006058441,0.0001447071,0.0000015765046,0.000041297568,0.00009708822,0.00015616545,0.0004811962,0.028173184,0.7824387,0.18835527],"study_design_scores_gemma":[9.614004e-7,0.000004087742,0.00003686333,0.000048102745,5.271783e-7,0.000025660862,0.000022520951,0.000023556378,0.000057756937,0.002275052,0.99750334,0.0000016655671],"about_ca_topic_score_codex":0.0024104924,"about_ca_topic_score_gemma":0.004232084,"teacher_disagreement_score":0.43923777,"about_ca_system_score_codex":0.0011999524,"about_ca_system_score_gemma":0.0015757467,"threshold_uncertainty_score":0.6265193},"labels":[],"label_agreement":null},{"id":"W4255542271","doi":"10.4018/978-1-5225-8176-5.ch050","title":"Data Security and Privacy Assurance Considerations in Cloud Computing for Health Insurance Providers","year":2019,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cloud Data Security Solutions","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":"Concordia University of Edmonton","funders":"","keywords":"Cloud computing; Computer security; Business; Vendor; Cloud computing security; Data breach; Health care; Internet privacy; Computer science; Marketing","score_opus":0.049356696908327606,"score_gpt":0.31127148864578974,"score_spread":0.2619147917374621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255542271","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024262486,0.0784465,0.20570114,0.10060025,0.0031315065,0.00041874204,0.000355438,0.00047900077,0.5866049],"genre_scores_gemma":[0.49473152,0.08241747,0.19710876,0.016121121,0.00392837,0.00036299668,0.00060854485,0.00052653265,0.20419468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978733,0.0006438441,0.00008585042,0.00015852232,0.0009802851,0.00025814105],"domain_scores_gemma":[0.998359,0.0008622736,0.000093049464,0.00022616854,0.00030554354,0.00015392291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030478842,0.00041795117,0.00029097695,0.0011624055,0.0024362192,0.008936734,0.0008504219,0.002142197,0.0048775487],"category_scores_gemma":[0.0033122778,0.0003705086,0.0006459176,0.0023668963,0.003010073,0.006549806,0.0025779612,0.004543689,0.0012041355],"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":[0.00001485209,0.000024014802,0.00031588727,0.00017528578,0.0000047684794,0.00020307575,0.00085861655,0.0011159355,0.00088674045,0.91436064,0.025485195,0.056555],"study_design_scores_gemma":[0.000007002274,0.000044502307,0.00087588467,0.0011283731,0.000017173455,0.00094135455,0.0014672603,0.009127563,0.002191618,0.3862627,0.5979008,0.000035749432],"about_ca_topic_score_codex":0.0053965757,"about_ca_topic_score_gemma":0.0065973615,"teacher_disagreement_score":0.008936734,"about_ca_system_score_codex":0.0043369923,"about_ca_system_score_gemma":0.0050827204,"threshold_uncertainty_score":0.03146726},"labels":[],"label_agreement":null},{"id":"W4280618407","doi":"10.1002/9781119682318.ch12","title":"Privacy Preservation Issues in Cloud Computing","year":2022,"lang":"en","type":"other","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Obligation; Internet privacy; Certification; Information privacy; Business; Privacy policy; Personally identifiable information; Computer security; Privacy rights; Privacy law; Control (management); Computer science; Political science; Law","score_opus":0.029734617242158083,"score_gpt":0.2954415994050385,"score_spread":0.2657069821628804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280618407","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029006718,0.043908052,0.30954558,0.21745028,0.004815591,0.0004270126,0.00062699604,0.0006413631,0.3935784],"genre_scores_gemma":[0.86277634,0.024716483,0.05225172,0.01945473,0.005679241,0.00028188323,0.00047040326,0.00035513454,0.034014057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98529124,0.0053707794,0.0007743952,0.0014304823,0.0055465316,0.001586636],"domain_scores_gemma":[0.9762442,0.011568605,0.0013660592,0.006501786,0.0034010876,0.000918189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013461036,0.00041296185,0.0006507343,0.0015326528,0.0067732884,0.0135719,0.002518993,0.0038334886,0.0052230484],"category_scores_gemma":[0.028884297,0.000430086,0.0008784705,0.0060907397,0.006772913,0.015479787,0.005311606,0.0064577693,0.0013264586],"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":[0.00003361309,0.000019939973,0.00057319173,0.00011332459,0.000011933257,0.00021761694,0.0006370394,0.0030489834,0.00021634184,0.9293105,0.022445654,0.043371875],"study_design_scores_gemma":[0.000014289283,0.00002060347,0.00050709915,0.00032654902,0.00002180319,0.0006425559,0.00091403717,0.014092894,0.0011773397,0.7802307,0.20202276,0.000029366776],"about_ca_topic_score_codex":0.010545264,"about_ca_topic_score_gemma":0.0043676435,"teacher_disagreement_score":0.0135719,"about_ca_system_score_codex":0.006037742,"about_ca_system_score_gemma":0.006360598,"threshold_uncertainty_score":0.07118964},"labels":[],"label_agreement":null},{"id":"W4296840098","doi":"10.1108/ics-03-2022-0048","title":"Users’ attitude on perceived security of mobile cloud computing: empirical evidence from SME users in China","year":2022,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Cloud computing; Structural equation modeling; Security awareness; Computer security; Cloud computing security; Empirical research; Information security; Computer security model","score_opus":0.02845977429873536,"score_gpt":0.2826263264477757,"score_spread":0.2541665521490403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296840098","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":[0.9996934,0.000020256612,0.000022364704,0.000053494976,6.282159e-7,0.0000022100553,0.000014665313,5.536663e-7,0.00019243274],"genre_scores_gemma":[0.9997688,0.000038195605,0.000024631767,0.000033105294,9.589753e-7,0.0000035225328,0.000021874459,5.479905e-7,0.00010843085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991041,0.00021980128,0.00010253655,0.00009292746,0.00025021096,0.00023034604],"domain_scores_gemma":[0.99554753,0.0014317374,0.0012581231,0.00018877833,0.0007710699,0.00080282177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017145518,0.00021349634,0.00029192228,0.0011847882,0.00091829075,0.0010235952,0.00027720488,0.00044351703,0.0021235389],"category_scores_gemma":[0.004120723,0.00022138197,0.000399591,0.0014685398,0.0007662778,0.00077421375,0.00068868743,0.00045088684,0.00026664892],"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":[0.000043587035,0.00009722917,0.97952616,0.00004297144,0.00001669297,0.00018689668,0.01422727,0.000058134203,0.0005749074,0.00009761325,0.00013045539,0.0049979985],"study_design_scores_gemma":[0.0000037495054,0.00013335362,0.9674937,0.000037128564,0.000016752625,0.000115688286,0.03098552,0.00058228424,0.00023447209,0.000058780814,0.0003248966,0.000013619112],"about_ca_topic_score_codex":0.030642813,"about_ca_topic_score_gemma":0.0292656,"teacher_disagreement_score":0.030642813,"about_ca_system_score_codex":0.0010876884,"about_ca_system_score_gemma":0.001167222,"threshold_uncertainty_score":0.06092888},"labels":[],"label_agreement":null},{"id":"W4297135752","doi":"10.2196/40061","title":"Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Thematic analysis; Cloud computing; Health care; Qualitative research; Nursing; eHealth; Medicine; Medical emergency; Psychology; Computer science","score_opus":0.19178803803391514,"score_gpt":0.4903145225137942,"score_spread":0.29852648447987906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297135752","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":[0.9915298,0.00042389525,0.002951245,0.0020411692,0.000040012314,0.00030867287,0.00013433804,0.000014465431,0.0025562875],"genre_scores_gemma":[0.9949197,0.0007123777,0.0015674231,0.0007636796,0.000018168907,0.00041579426,0.00007216296,0.000020910167,0.001509853],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9854188,0.010281468,0.0005270762,0.0007617409,0.0008258977,0.002185013],"domain_scores_gemma":[0.9723895,0.01967499,0.0020469606,0.0004282473,0.0027599696,0.0027002457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019799313,0.00080599374,0.00097315846,0.0018570041,0.00848582,0.0040739127,0.002124862,0.0023068872,0.0028027429],"category_scores_gemma":[0.029618742,0.00096034835,0.0005834728,0.0016571924,0.00829634,0.0053274124,0.006033777,0.0039286334,0.00043139418],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016453963,0.000024533549,0.0015017425,0.00008040223,0.000002275226,0.00031523535,0.9957766,0.000022523387,0.00047193197,0.000373025,0.0001705168,0.0012448987],"study_design_scores_gemma":[0.0000018372106,0.00003079595,0.00053280423,0.00007099119,0.0000017686959,0.00008312076,0.9973009,0.00007624179,0.00012593844,0.00008441692,0.0016845026,0.0000067382443],"about_ca_topic_score_codex":0.009750495,"about_ca_topic_score_gemma":0.010639322,"teacher_disagreement_score":0.019799313,"about_ca_system_score_codex":0.0062829736,"about_ca_system_score_gemma":0.0060048476,"threshold_uncertainty_score":0.10470998},"labels":[],"label_agreement":null},{"id":"W4309611560","doi":"10.3138/jsp-2022-0026","title":"Text Recycling and Excessive Attribution: A Pragmatic Perspective","year":2022,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Attribution; Declaration; Perspective (graphical); Commit; Scrutiny; Mindset; Epistemology; Psychology; Public relations; Computer science; Social psychology; Political science; Law; Artificial intelligence; Philosophy","score_opus":0.02542831001666439,"score_gpt":0.2714163095071941,"score_spread":0.24598799949052969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309611560","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029268965,0.009614165,0.23110028,0.28945097,0.0038735073,0.0005258051,0.00015260662,0.00057599007,0.4354377],"genre_scores_gemma":[0.89237833,0.00279169,0.04876615,0.023173073,0.0030720425,0.00074055995,0.00008786126,0.00058369385,0.02840673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.8231335,0.14113782,0.006047057,0.008150184,0.01709015,0.0044412804],"domain_scores_gemma":[0.758716,0.20157543,0.009324709,0.013880869,0.013897878,0.002605195],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.11579943,0.0020685203,0.001982181,0.0077734347,0.020206252,0.023439754,0.008024905,0.025660321,0.0072962926],"category_scores_gemma":[0.15388508,0.002002685,0.002118751,0.0041809273,0.11317284,0.04182091,0.021732751,0.01768963,0.0015327994],"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":[0.000021799404,0.000017765653,0.00013854608,0.00014028716,0.0000120996965,0.0004241536,0.036787357,0.00014220066,0.00021807523,0.95567966,0.0026308508,0.0037872042],"study_design_scores_gemma":[0.000050000705,0.000031653886,0.00015034492,0.00042488807,0.000023735083,0.00062342617,0.016854487,0.0009373081,0.0006656672,0.8879721,0.09219614,0.00007020833],"about_ca_topic_score_codex":0.003548568,"about_ca_topic_score_gemma":0.002416306,"teacher_disagreement_score":0.97433966,"about_ca_system_score_codex":0.0146571165,"about_ca_system_score_gemma":0.010211878,"threshold_uncertainty_score":0.6124132},"labels":[],"label_agreement":null},{"id":"W4310636918","doi":"10.46382/mjbas.2021.5208","title":"Mitigating the Integrity Issues in Cloud Computing Utilizing Cryptography Algorithms","year":2021,"lang":"en","type":"article","venue":"Mediterranean Journal of Basic and Applied Sciences","topic":"Cloud Data Security Solutions","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":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cryptography; Cloud computing security; Encryption; Confidentiality; Authentication (law); Information sensitivity","score_opus":0.04948987218083353,"score_gpt":0.29980524715738316,"score_spread":0.25031537497654965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310636918","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":[0.08613291,0.012394333,0.87004846,0.005273945,0.0004007676,0.00033776223,0.000072718896,0.00055625744,0.024782859],"genre_scores_gemma":[0.7796631,0.009599563,0.20380343,0.00046257093,0.0003343321,0.0001147973,0.00009396237,0.00009106485,0.0058372314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960601,0.0011576529,0.00023772882,0.00026016418,0.0019574268,0.00032697537],"domain_scores_gemma":[0.99478674,0.0016201338,0.00087581173,0.0014502052,0.0011618044,0.00010534762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025827053,0.00059985305,0.00071509543,0.0011548904,0.0016955989,0.0038809632,0.0012997085,0.0014629344,0.001425087],"category_scores_gemma":[0.008570372,0.00043882674,0.00077115063,0.0015460101,0.0016550615,0.006422325,0.0022485617,0.0022788153,0.0008862831],"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":[0.00040196363,0.00029369074,0.006407789,0.0011153816,0.00021426316,0.00087187026,0.0013299335,0.06132148,0.094686106,0.45771137,0.0052210065,0.3704252],"study_design_scores_gemma":[0.000068205925,0.000659622,0.0022848544,0.00077739806,0.0002236348,0.0036836085,0.00097151316,0.5113536,0.1969982,0.20155945,0.08122172,0.00019817876],"about_ca_topic_score_codex":0.00078123837,"about_ca_topic_score_gemma":0.0004989283,"teacher_disagreement_score":0.0038809632,"about_ca_system_score_codex":0.0011876272,"about_ca_system_score_gemma":0.0020963997,"threshold_uncertainty_score":0.013658762},"labels":[],"label_agreement":null},{"id":"W4317390695","doi":"10.1186/s13677-022-00387-2","title":"Deep learning approach to security enforcement in cloud workflow orchestration","year":2023,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":25,"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; Concordia University","funders":"","keywords":"Cloud computing; Computer science; Workflow; Orchestration; Cloud computing security; Anomaly detection; Computer security; Distributed computing; Data mining; Database; Operating system","score_opus":0.02015942445982682,"score_gpt":0.2833356406579219,"score_spread":0.26317621619809506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317390695","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":[0.058753535,0.00041241362,0.93605953,0.0011192693,0.000048683236,0.000070243594,0.00013899959,0.0014706331,0.001926624],"genre_scores_gemma":[0.88136107,0.00024074106,0.11512931,0.0002875323,0.000040961528,0.00009616826,0.00028224292,0.000059042908,0.0025028554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989121,0.0002568827,0.00008478828,0.0002721354,0.0002390691,0.00023494553],"domain_scores_gemma":[0.99843174,0.0006831323,0.00022872967,0.00016458104,0.00037999128,0.00011174451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019659363,0.0006628803,0.0007065732,0.0007808647,0.0005991294,0.0012686037,0.0015912403,0.0011358216,0.0010126657],"category_scores_gemma":[0.003546633,0.00049460185,0.0008700594,0.00071367703,0.001113357,0.0014020643,0.0014206296,0.0023245134,0.00018806693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008102432,0.00012225944,0.0025667234,0.000035803292,0.000042410953,0.00006707307,0.000067998524,0.94275534,0.0012324661,0.0076484447,0.0007216676,0.044658724],"study_design_scores_gemma":[0.0000012481626,0.000004209212,0.000055481778,0.0000014239628,0.0000015062292,0.0000017865059,0.000002568254,0.9980258,0.00014283355,0.001708771,0.00005332761,0.0000010409165],"about_ca_topic_score_codex":0.02421406,"about_ca_topic_score_gemma":0.020063672,"teacher_disagreement_score":0.02421406,"about_ca_system_score_codex":0.0029501056,"about_ca_system_score_gemma":0.0032912802,"threshold_uncertainty_score":0.048146248},"labels":[],"label_agreement":null},{"id":"W4317604204","doi":"10.1145/3573127","title":"From Zero to 100","year":2023,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Zero (linguistics); Computer science; Philosophy","score_opus":0.09001505939159397,"score_gpt":0.34003169126052524,"score_spread":0.25001663186893125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317604204","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07907536,0.017508652,0.02556705,0.25602856,0.006442419,0.000060143477,0.00043136041,0.00048227102,0.61440414],"genre_scores_gemma":[0.9444547,0.0045053754,0.0037107316,0.012379113,0.00068218325,0.000069887545,0.0001647722,0.0002224099,0.03381094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99460644,0.002615237,0.00022792572,0.0005101926,0.0013912484,0.000648983],"domain_scores_gemma":[0.99024326,0.0032252038,0.00076455384,0.001698508,0.002455188,0.0016131578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054638386,0.0005469392,0.00041184633,0.0016415368,0.004535432,0.010752795,0.0010252441,0.0024205775,0.015796803],"category_scores_gemma":[0.030782346,0.00030613653,0.000363761,0.00131772,0.017189046,0.023272678,0.009315803,0.0066762003,0.0032110647],"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":[0.000061162486,0.000018688439,0.0011730705,0.00006429566,0.000007651747,0.00008790622,0.004914527,0.00016298161,0.00015890125,0.9360927,0.02914592,0.028112277],"study_design_scores_gemma":[0.000011792903,0.000050939827,0.001343219,0.00038432833,0.000010791672,0.00019466005,0.0071362453,0.00037064552,0.00028995244,0.79705316,0.19312361,0.000030596224],"about_ca_topic_score_codex":0.0042979736,"about_ca_topic_score_gemma":0.004551099,"teacher_disagreement_score":0.015796803,"about_ca_system_score_codex":0.005415605,"about_ca_system_score_gemma":0.004034282,"threshold_uncertainty_score":0.052845597},"labels":[],"label_agreement":null},{"id":"W4320925766","doi":"10.18280/rces.090404","title":"Security Issues in Cloud Computing: A Study","year":2022,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Cloud computing security; Computer science; Computer security; The Internet; Server; Openness to experience; Utility computing; Architecture; Computer security model; World Wide Web","score_opus":0.023602483243147034,"score_gpt":0.31179977726348745,"score_spread":0.28819729402034044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320925766","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13932338,0.69544876,0.00578043,0.034409743,0.0007864403,0.00013912721,0.000065774024,0.000020072364,0.124026254],"genre_scores_gemma":[0.5563432,0.4346913,0.0015522281,0.0026507496,0.0007794739,0.00004898425,0.000042550302,0.00001841289,0.0038732204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99678326,0.0013333427,0.0001992799,0.00025914176,0.001132955,0.00029192105],"domain_scores_gemma":[0.9875131,0.00864786,0.0013125993,0.0002901853,0.0018393015,0.00039697022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027410917,0.00023819876,0.0003708528,0.0022786257,0.0020349612,0.0048145573,0.00041851413,0.0014983024,0.0017383868],"category_scores_gemma":[0.0067408727,0.0002580219,0.00047299484,0.005222788,0.0025599005,0.0062370873,0.0010191697,0.0021689383,0.00032501973],"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":[0.0002116278,0.0005588016,0.045539875,0.006542086,0.00016315498,0.0027275481,0.027477656,0.002351511,0.0027598285,0.5002106,0.03339248,0.3780648],"study_design_scores_gemma":[0.00002077681,0.00043511705,0.05458726,0.011261184,0.000129917,0.0049737063,0.04716368,0.0028775078,0.0019808202,0.07011222,0.806364,0.00009380122],"about_ca_topic_score_codex":0.0035331673,"about_ca_topic_score_gemma":0.0023426253,"teacher_disagreement_score":0.0048145573,"about_ca_system_score_codex":0.003151135,"about_ca_system_score_gemma":0.0034642909,"threshold_uncertainty_score":0.02286321},"labels":[],"label_agreement":null},{"id":"W4323967610","doi":"10.1504/ijads.2023.129477","title":"Evaluation of cloud computing risks using an integrated fuzzy-ANP and FMEA approaches","year":2023,"lang":"en","type":"article","venue":"International Journal of Applied Decision Sciences","topic":"Cloud Data Security Solutions","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":"Toronto Metropolitan University","funders":"","keywords":"Risk analysis (engineering); Outsourcing; Cloud computing; Process management; Computer science; Risk management; Audit; Scope (computer science); Business; Accounting; Finance","score_opus":0.36031702245024766,"score_gpt":0.4343285576832485,"score_spread":0.07401153523300086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323967610","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":[0.11077563,0.00044876078,0.876352,0.0002621283,0.000038479928,0.00037007994,0.00015834547,0.0001907277,0.011403788],"genre_scores_gemma":[0.77492994,0.0003164976,0.2224669,0.00004728439,0.000021938842,0.00031166716,0.0001435526,0.00002299,0.0017392252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989429,0.00037664414,0.0000618133,0.00010649765,0.0003763655,0.0001357201],"domain_scores_gemma":[0.99845815,0.00093988294,0.00016601852,0.000042451098,0.00034315462,0.000050281662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026965356,0.0013684996,0.0010075249,0.0053135636,0.0009879707,0.002036615,0.0011899349,0.0012262102,0.0023133755],"category_scores_gemma":[0.0038648483,0.00054797606,0.0019847949,0.0015763163,0.0005695085,0.0010087548,0.001071574,0.0006997215,0.0001618659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008519491,0.00012187034,0.003416752,0.00013996284,0.00013529332,0.00011201116,0.00012614223,0.93950397,0.0013622168,0.007237946,0.0002665429,0.04749216],"study_design_scores_gemma":[0.000006926647,0.000054404103,0.0007493785,0.000029385053,0.000032384683,0.000024534247,0.000099953824,0.9950702,0.00047097425,0.0031392537,0.00031145784,0.000011226087],"about_ca_topic_score_codex":0.020542327,"about_ca_topic_score_gemma":0.014249533,"teacher_disagreement_score":0.020542327,"about_ca_system_score_codex":0.0026441289,"about_ca_system_score_gemma":0.0021185908,"threshold_uncertainty_score":0.040845513},"labels":[],"label_agreement":null},{"id":"W4324046671","doi":"10.21203/rs.3.rs-2657894/v1","title":"Enhancing Privacy and Security in Cloud Computing Using the Covenant Code Exchange","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cloud Data Security Solutions","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":"Carleton University","funders":"","keywords":"Computer security; Cloud computing; Computer science; Covenant; Cloud computing security; Witness; Computer security model; Internet privacy; Law; Political science; Operating system","score_opus":0.15221043217846625,"score_gpt":0.4197118853296851,"score_spread":0.26750145315121887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324046671","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":[0.0396692,0.00033553567,0.9336851,0.0042125117,0.00015454672,0.00037339045,0.000077184646,0.00029362127,0.021198984],"genre_scores_gemma":[0.7681827,0.00055842573,0.21911961,0.0007832548,0.00015627315,0.00030213583,0.00014240535,0.00011282349,0.010642369],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.981006,0.00919775,0.0009802988,0.0018782575,0.005155533,0.0017820564],"domain_scores_gemma":[0.98268974,0.005527186,0.0014906867,0.00692636,0.0023103978,0.0010556438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102461595,0.00064713176,0.0009832259,0.0019293728,0.0030562368,0.00815927,0.00247494,0.003383923,0.0034840268],"category_scores_gemma":[0.017425366,0.0005989453,0.001692529,0.0021008553,0.0062215314,0.015298049,0.00910173,0.0057139853,0.0006697595],"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":[0.000109709355,0.00012560595,0.0010419134,0.000057864676,0.000026533467,0.0002561132,0.00045865247,0.027090114,0.0020255018,0.9478895,0.0013332866,0.01958508],"study_design_scores_gemma":[0.000095846706,0.00019091739,0.0004879577,0.00019344347,0.000051337593,0.0006135584,0.0005014786,0.42974982,0.007851102,0.5273624,0.032791056,0.000111145004],"about_ca_topic_score_codex":0.0059173713,"about_ca_topic_score_gemma":0.0028138196,"teacher_disagreement_score":0.0102461595,"about_ca_system_score_codex":0.0031237598,"about_ca_system_score_gemma":0.0056309327,"threshold_uncertainty_score":0.054187536},"labels":[],"label_agreement":null},{"id":"W4384652656","doi":"10.20944/preprints202307.1222.v1","title":"Improve the Security of Cloud Computing to Enhance Network Security","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","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 British Columbia","funders":"","keywords":"Cloud computing; Cloud computing security; Computer science; Computer security; Identification (biology); Field (mathematics); Data security; Encryption","score_opus":0.07696289029295339,"score_gpt":0.3546590207001512,"score_spread":0.2776961304071978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384652656","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18685916,0.15724,0.3825241,0.08937909,0.0017412553,0.0035446484,0.002119042,0.0011961027,0.17539664],"genre_scores_gemma":[0.76958555,0.058830712,0.15927793,0.0043430687,0.0003665102,0.0008679926,0.00071815145,0.00012230383,0.0058877887],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98763835,0.006379147,0.0008450344,0.00057990884,0.0038300825,0.0007276094],"domain_scores_gemma":[0.97379875,0.010502938,0.0027556352,0.0027513287,0.009649745,0.00054156466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014433309,0.0004848761,0.00054162816,0.004233736,0.0017874023,0.0044252085,0.00078505115,0.0010528628,0.003785513],"category_scores_gemma":[0.0339228,0.00026438225,0.0011174014,0.0039376994,0.00091040815,0.0070074447,0.0019231974,0.0011399596,0.001069376],"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":[0.00019096342,0.00032272242,0.019588532,0.012911076,0.00031909312,0.00046125287,0.0043815286,0.00912724,0.021034485,0.20033947,0.020030878,0.71129274],"study_design_scores_gemma":[0.0001367705,0.0010949948,0.037324984,0.019352857,0.00089168217,0.0013800216,0.013139197,0.034391895,0.045748822,0.18599589,0.6602736,0.0002693465],"about_ca_topic_score_codex":0.0060373237,"about_ca_topic_score_gemma":0.0071138567,"teacher_disagreement_score":0.014433309,"about_ca_system_score_codex":0.0035188978,"about_ca_system_score_gemma":0.012847445,"threshold_uncertainty_score":0.076331556},"labels":[],"label_agreement":null},{"id":"W4385201148","doi":"10.23977/jeis.2023.080210","title":"Network information security technology based on cloud computing environment","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Computer security; Network security; Information security; Operating system","score_opus":0.007403701911533396,"score_gpt":0.23010636647676258,"score_spread":0.2227026645652292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385201148","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":[0.053448327,0.024195738,0.64062077,0.012025564,0.0018649544,0.0003974968,0.0002693014,0.0010176655,0.26616022],"genre_scores_gemma":[0.8324083,0.027153244,0.11766829,0.0011680527,0.0009077374,0.00026028973,0.00023040235,0.000088239605,0.020115407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988385,0.00019981786,0.00005497062,0.00017988848,0.00056696666,0.0001597531],"domain_scores_gemma":[0.9995407,0.00009300389,0.000046642188,0.00008270747,0.00019093555,0.000046119894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627682,0.000339623,0.00032820858,0.0010060664,0.0011860274,0.002846505,0.00076029554,0.0006781029,0.001773703],"category_scores_gemma":[0.0011202098,0.000174812,0.0004545637,0.0011663334,0.0010031717,0.0042615337,0.0013100829,0.001225117,0.0005407633],"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":[0.000061267856,0.000054808497,0.0020933414,0.00034282828,0.00003663159,0.00050394656,0.00043615143,0.01612426,0.010715121,0.84863657,0.009877579,0.11111748],"study_design_scores_gemma":[0.000040621988,0.00016199422,0.0035943557,0.00050784,0.00008791395,0.001541545,0.0008090439,0.25864568,0.020685025,0.40494588,0.3088715,0.00010849786],"about_ca_topic_score_codex":0.004411799,"about_ca_topic_score_gemma":0.0022459999,"teacher_disagreement_score":0.004411799,"about_ca_system_score_codex":0.0017775029,"about_ca_system_score_gemma":0.002476386,"threshold_uncertainty_score":0.012896717},"labels":[],"label_agreement":null},{"id":"W4385247094","doi":"10.1007/978-3-031-38318-2_37","title":"A Privacy Risk Analysis of Identity Federation Topologies in Single Sign-On (SSO) Web Domain","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Cloud Data Security Solutions","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":"University of Windsor","funders":"","keywords":"Computer science; Computer security; Single sign-on; Credential; Information privacy; Service provider; Internet privacy; Context (archaeology); Identity management; Password; Authentication (law); Service (business); Business","score_opus":0.028236801542541722,"score_gpt":0.2604931957072227,"score_spread":0.23225639416468097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385247094","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":[0.19012845,0.0015802714,0.7804886,0.0025873282,0.00013966982,0.00024540935,0.00045636971,0.00051390356,0.023859976],"genre_scores_gemma":[0.9645426,0.00066986267,0.02902113,0.000120231845,0.00014869563,0.00008858976,0.0002046873,0.0000826681,0.0051215207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941203,0.002853199,0.00012873633,0.0006036576,0.00145586,0.00083819876],"domain_scores_gemma":[0.9668168,0.025501234,0.0020155793,0.003189999,0.0016938895,0.00078257313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006627346,0.0008498774,0.0016454308,0.0014545248,0.0015478721,0.0044119665,0.0029029301,0.0021897398,0.0047405786],"category_scores_gemma":[0.023847716,0.0007007445,0.0015056136,0.0021081052,0.0028497416,0.00762442,0.0032296297,0.0037105654,0.0005610826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006554464,0.00026032512,0.0031303507,0.00015347134,0.00011018235,0.00038573195,0.00037504538,0.5327726,0.002633213,0.41200128,0.0067682285,0.040754136],"study_design_scores_gemma":[0.000008659239,0.00006550756,0.00043808966,0.000021704484,0.000027765116,0.00017412711,0.000095619835,0.9200488,0.0005580215,0.07796578,0.00058027596,0.000015708833],"about_ca_topic_score_codex":0.0020023754,"about_ca_topic_score_gemma":0.0010805653,"teacher_disagreement_score":0.006627346,"about_ca_system_score_codex":0.0040831864,"about_ca_system_score_gemma":0.001957808,"threshold_uncertainty_score":0.0350492},"labels":[],"label_agreement":null},{"id":"W4385339246","doi":"10.2139/ssrn.4524628","title":"Verifying Trust Over Iot-Ad Hoc Network-Based Applications Under Uncertainty","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cloud Data Security Solutions","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":"University of Alberta; Concordia University","funders":"","keywords":"Wireless ad hoc network; Computer science; Internet of Things; Computer security; Telecommunications; Wireless","score_opus":0.02700290437195177,"score_gpt":0.28606745956093005,"score_spread":0.2590645551889783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385339246","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":[0.46999872,0.0003788687,0.5229997,0.0018962052,0.00017231825,0.00021370324,0.0003287524,0.0006675795,0.0033441663],"genre_scores_gemma":[0.9914643,0.00006606729,0.008043292,0.000041016716,0.000033412503,0.000022162465,0.0000636664,0.000017137507,0.00024883272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.989035,0.0033454134,0.0010450239,0.0014584383,0.003975382,0.0011407348],"domain_scores_gemma":[0.93172354,0.04823231,0.0066367183,0.006764941,0.005391044,0.0012514449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070453547,0.00067826547,0.0013127958,0.0007442548,0.0011393994,0.0034105384,0.0014152789,0.0018990283,0.00089999806],"category_scores_gemma":[0.06334283,0.0006583585,0.0010261509,0.0010472299,0.0028313084,0.005770532,0.0035272161,0.0021497512,0.00016023536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014643564,0.00016225218,0.016197223,0.00027793163,0.00031339657,0.0016993021,0.0007508084,0.8525428,0.011071864,0.08369428,0.0012255225,0.030600267],"study_design_scores_gemma":[0.000025650232,0.00006186499,0.00073607726,0.000016703536,0.000024542518,0.000088291534,0.000108453576,0.9609437,0.0025214446,0.03516365,0.00029882888,0.0000107864025],"about_ca_topic_score_codex":0.004750991,"about_ca_topic_score_gemma":0.0027145427,"teacher_disagreement_score":0.0070453547,"about_ca_system_score_codex":0.0026125682,"about_ca_system_score_gemma":0.0024104845,"threshold_uncertainty_score":0.037259877},"labels":[],"label_agreement":null},{"id":"W4385385800","doi":"10.1007/978-3-031-32309-6_9","title":"Cybersecurity Considerations for Deep Renovation","year":2023,"lang":"en","type":"book-chapter","venue":"Palgrave studies in digital business & enabling technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Contingency; Engineering; Quality (philosophy); Computer security; Construction engineering; Architectural engineering; Risk analysis (engineering); Computer science; Engineering management; Business","score_opus":0.10852831391393879,"score_gpt":0.31170911224996056,"score_spread":0.20318079833602176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385385800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02095593,0.0419312,0.04199268,0.024490574,0.0029220537,0.00013411471,0.00009803418,0.000303545,0.86717176],"genre_scores_gemma":[0.43004522,0.045927048,0.03234144,0.007539672,0.0011897704,0.00024785454,0.00025960815,0.00035277155,0.48209658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989236,0.00033801328,0.00004630201,0.00012763114,0.00043402676,0.0001303493],"domain_scores_gemma":[0.9985593,0.00064570794,0.000109378736,0.00019621557,0.00035597064,0.00013352667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020544396,0.00049719075,0.00032846868,0.00095165294,0.0018644026,0.0068971296,0.0010510264,0.0024984302,0.013405842],"category_scores_gemma":[0.0023081747,0.00027984122,0.00048692146,0.0009872355,0.003475772,0.0052594775,0.0036474299,0.004037673,0.002552501],"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":[0.000010011864,0.00002067363,0.00022832667,0.00018189629,0.000003543087,0.00026911029,0.0020450917,0.0015119534,0.00072850136,0.92421764,0.020014672,0.05076845],"study_design_scores_gemma":[0.000002702061,0.000035103876,0.0003917798,0.00080570154,0.000006247546,0.0004502462,0.0014896003,0.00083981414,0.0011894843,0.17608579,0.81868434,0.00001925727],"about_ca_topic_score_codex":0.0016631711,"about_ca_topic_score_gemma":0.003853727,"teacher_disagreement_score":0.013405842,"about_ca_system_score_codex":0.0021922844,"about_ca_system_score_gemma":0.0025533305,"threshold_uncertainty_score":0.044846952},"labels":[],"label_agreement":null},{"id":"W4385613559","doi":"10.59543/ijmscs.v2i.7971","title":"Comparing Several Encrypted Cloud Storage Platforms","year":2023,"lang":"en","type":"article","venue":"International Journal of Mathematics Statistics and Computer Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Cloud computing; Computer science; Encryption; Computer security; Popularity; Cloud storage; Internet privacy; Simple (philosophy); Cryptography; Key (lock); Anonymity; License; World Wide Web","score_opus":0.03189375826789812,"score_gpt":0.29031291606602233,"score_spread":0.2584191577981242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385613559","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":[0.89483804,0.0047853068,0.0108939465,0.00091301923,0.00031062687,0.00042498615,0.00236123,0.00051310996,0.084959686],"genre_scores_gemma":[0.9859855,0.0013139815,0.004415594,0.000095720214,0.000042754258,0.00005996122,0.0010256605,0.00007062572,0.0069901263],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980666,0.00031627656,0.00013345292,0.00014869017,0.00096598227,0.00036899155],"domain_scores_gemma":[0.99662906,0.0010789233,0.0003305735,0.0005447767,0.0012296446,0.00018707887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011723092,0.00035715292,0.00034719484,0.0016972156,0.00095717213,0.0028436887,0.0009357388,0.00066276727,0.009615091],"category_scores_gemma":[0.006019312,0.00016132876,0.00037795847,0.0018417966,0.0007767647,0.0045054746,0.0012385035,0.00041300867,0.0018714641],"study_design_candidate":"observational","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":[0.01857441,0.0012848589,0.06051146,0.0048669246,0.00062297017,0.003924584,0.0022572395,0.111773394,0.04787387,0.21553874,0.048680957,0.48409057],"study_design_scores_gemma":[0.0011125896,0.009551887,0.110268645,0.0015497276,0.0010913173,0.00953064,0.01611454,0.3024723,0.1554839,0.051166505,0.34111103,0.00054690376],"about_ca_topic_score_codex":0.0026319504,"about_ca_topic_score_gemma":0.0017511785,"teacher_disagreement_score":0.009615091,"about_ca_system_score_codex":0.0016673538,"about_ca_system_score_gemma":0.0008937815,"threshold_uncertainty_score":0.032165706},"labels":[],"label_agreement":null},{"id":"W4385714587","doi":"10.48550/arxiv.2308.03952","title":"Exploring Security Practices in Infrastructure as Code: An Empirical Study","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Cloud computing; Best practice; Computer science; Scripting language; Computer security; Secure coding; Vulnerability (computing); Critical infrastructure; Encryption; Cloud computing security; Software security assurance","score_opus":0.3513193634459902,"score_gpt":0.30501953295885487,"score_spread":0.04629983048713532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385714587","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":[0.9982278,0.0000866241,0.00034214623,0.00016948243,0.0000023339935,0.00007350395,0.00014956758,0.00000923181,0.00093941024],"genre_scores_gemma":[0.9974337,0.00019892011,0.0012218906,0.00009633129,0.000008550679,0.00017903245,0.00036662346,0.000030397903,0.0004646136],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9870176,0.0047671455,0.0010759548,0.0015207764,0.0041337567,0.0014847729],"domain_scores_gemma":[0.8010976,0.11822029,0.05018184,0.007224944,0.017918788,0.0053565027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017333193,0.00045355456,0.00052719866,0.004990076,0.0015647835,0.0038702164,0.0013930518,0.0013504834,0.0031972986],"category_scores_gemma":[0.093399554,0.000654526,0.0005279291,0.007134438,0.0042163464,0.005560491,0.0030939924,0.003038514,0.0008945539],"study_design_candidate":"qualitative","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":[0.00012791347,0.0011682358,0.91323304,0.00049040193,0.000060875165,0.0007209036,0.060410652,0.00044488383,0.0009209508,0.0019780272,0.0014120861,0.019031938],"study_design_scores_gemma":[0.000020939566,0.00046615588,0.8686249,0.00051552075,0.00005122824,0.0007296753,0.11714258,0.0030619903,0.0008843772,0.00067328336,0.0077734706,0.000055845234],"about_ca_topic_score_codex":0.006856511,"about_ca_topic_score_gemma":0.0074602654,"teacher_disagreement_score":0.017333193,"about_ca_system_score_codex":0.0029956133,"about_ca_system_score_gemma":0.0037569571,"threshold_uncertainty_score":0.09166777},"labels":[],"label_agreement":null},{"id":"W4386767355","doi":"10.21203/rs.3.rs-3349909/v1","title":"Zero Trust Context-Aware Access Control Framework for IoT Devices in Healthcare Cloud AI Ecosystem","year":2023,"lang":"en","type":"preprint","venue":"Research Square","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":"Government of Canada; University of Victoria","funders":"","keywords":"Cloud computing; Computer science; Access control; Telehealth; Context (archaeology); Computer security; Authentication (law); Health care; Telemedicine","score_opus":0.15726714652962193,"score_gpt":0.46514722870054853,"score_spread":0.3078800821709266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386767355","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":[0.01843371,0.00031085976,0.9742389,0.00074345566,0.0000733959,0.00021161104,0.0000609241,0.0012611217,0.004665924],"genre_scores_gemma":[0.79530805,0.0003247446,0.19980288,0.00022800094,0.00006707749,0.00020911769,0.00014553034,0.000101451136,0.0038130588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800307,0.0005632823,0.0002178039,0.0003142442,0.0006255294,0.00027607585],"domain_scores_gemma":[0.99856704,0.0003539177,0.00014774196,0.0002906235,0.00040861606,0.00023211264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024583745,0.00046943067,0.0005397854,0.00075547653,0.0009754527,0.0034760216,0.0014144368,0.001069075,0.0015003105],"category_scores_gemma":[0.0036699139,0.00024323702,0.00089904154,0.00045116566,0.0014535527,0.0030667388,0.0027646245,0.0018978133,0.00036526672],"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":[0.0002473684,0.00032672164,0.0054236325,0.00029490096,0.00016139957,0.0013404946,0.0019539902,0.15434028,0.016777404,0.6780647,0.008378153,0.13269089],"study_design_scores_gemma":[0.00001312765,0.000039215556,0.00040546586,0.000041899573,0.00003798485,0.00016852244,0.00017061546,0.9387787,0.0026974906,0.048823394,0.008793075,0.000030454055],"about_ca_topic_score_codex":0.008329324,"about_ca_topic_score_gemma":0.0076073343,"teacher_disagreement_score":0.008329324,"about_ca_system_score_codex":0.001524856,"about_ca_system_score_gemma":0.0020009817,"threshold_uncertainty_score":0.016561687},"labels":[],"label_agreement":null},{"id":"W4386803047","doi":"10.23977/cpcs.2023.070202","title":"Digital Tiger Symbol Authorization Method Based on PKI System","year":2023,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Public key infrastructure; Computer security; Authorization; Encryption; Access control; Cryptography; Task (project management); Public-key cryptography; Engineering","score_opus":0.02852415940026266,"score_gpt":0.28378571496765465,"score_spread":0.255261555567392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386803047","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":[0.012015351,0.0005046548,0.9554175,0.00048012566,0.0004101054,0.00045189617,0.0001707724,0.0068570105,0.023692608],"genre_scores_gemma":[0.5903689,0.0011063637,0.3761894,0.00028966527,0.00043367746,0.00059156446,0.00047541724,0.00036016988,0.030184796],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968929,0.0006544634,0.00029733917,0.00061191054,0.0012793808,0.00026393007],"domain_scores_gemma":[0.9985328,0.00032073207,0.00018043452,0.00041639543,0.0004077404,0.00014197479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013329535,0.0005445004,0.00063952385,0.0014787089,0.0016598183,0.002535836,0.0014629483,0.0009511332,0.0061587943],"category_scores_gemma":[0.0027832454,0.00026860394,0.0005171638,0.0010224822,0.001485948,0.0042421813,0.0015802884,0.0013585305,0.0027196023],"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":[0.0011614751,0.00038784277,0.0027634297,0.0006946327,0.000080690224,0.0009459067,0.0017493509,0.021322612,0.06503301,0.31276786,0.027556064,0.56553715],"study_design_scores_gemma":[0.00075065286,0.000872326,0.0017207509,0.00016574208,0.0001732098,0.0031803974,0.0005541807,0.45739022,0.19781357,0.077677764,0.25921324,0.00048792956],"about_ca_topic_score_codex":0.001450503,"about_ca_topic_score_gemma":0.0007615116,"teacher_disagreement_score":0.0061587943,"about_ca_system_score_codex":0.001067077,"about_ca_system_score_gemma":0.0022507568,"threshold_uncertainty_score":0.02060324},"labels":[],"label_agreement":null},{"id":"W4387319649","doi":"10.1007/978-3-031-41181-6_21","title":"Trust Management Framework for Containerized Workloads Applications to 5G Networks","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","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":"Ericsson (Canada); Polytechnique Montréal","funders":"","keywords":"Computer science; Trust management (information system); Computer security; Adversary; Context (archaeology); Software deployment; Service (business); Computational trust; Service provider; Business; Software engineering","score_opus":0.02573846858734566,"score_gpt":0.28431667463186017,"score_spread":0.25857820604451454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387319649","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":[0.04408346,0.0008172911,0.9204765,0.0009900286,0.00035408634,0.00058152655,0.00023930184,0.020847153,0.011610644],"genre_scores_gemma":[0.7475677,0.00050241296,0.23554987,0.0003073615,0.00016509384,0.0003112914,0.0007736056,0.00086537236,0.0139573105],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869907,0.00026213302,0.00013700846,0.00016638832,0.0004611322,0.00027429915],"domain_scores_gemma":[0.9984995,0.00022833653,0.0001363993,0.0004010004,0.00048549657,0.00024921057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022544542,0.0005653148,0.00066415797,0.0006166009,0.001109779,0.0026738618,0.0020209558,0.0007918103,0.0036857282],"category_scores_gemma":[0.003347142,0.00041917033,0.0007514718,0.00041629304,0.00053098204,0.0025542122,0.002428429,0.0019433905,0.0009303985],"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":[0.0014939397,0.0010408558,0.009611296,0.00064886065,0.0005203137,0.0021785877,0.0023548794,0.13050717,0.054106887,0.20064256,0.099995874,0.4968988],"study_design_scores_gemma":[0.00006012527,0.00014601437,0.000913363,0.000073823576,0.00012726069,0.00025889897,0.00024126399,0.93005997,0.012053201,0.020056248,0.035935428,0.00007437903],"about_ca_topic_score_codex":0.008080698,"about_ca_topic_score_gemma":0.009035932,"teacher_disagreement_score":0.008080698,"about_ca_system_score_codex":0.0014036201,"about_ca_system_score_gemma":0.0020582548,"threshold_uncertainty_score":0.016067326},"labels":[],"label_agreement":null},{"id":"W4387850646","doi":"10.1007/978-3-031-43033-6_25","title":"Blind Auditing and Probabilistic Access Controls","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","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":"Memorial University of Newfoundland","funders":"","keywords":"Audit; Computer science; Information security audit; Audit trail; Identifier; Overhead (engineering); Probabilistic logic; Access control; Control (management); Computer security; Accounting; Information security; Artificial intelligence; Computer network; Security service; Business","score_opus":0.042907615645600534,"score_gpt":0.29321715575314133,"score_spread":0.2503095401075408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387850646","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":[0.012075819,0.0020815267,0.9445097,0.0016562563,0.00041326263,0.00010280742,0.00012795103,0.0009914486,0.038041364],"genre_scores_gemma":[0.7628655,0.0034456071,0.16557668,0.00056864176,0.00068872125,0.00026424142,0.00020645901,0.00037839432,0.066005684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922316,0.0024898006,0.00049517595,0.0010023657,0.0030407833,0.00074019225],"domain_scores_gemma":[0.97599864,0.012159925,0.0014089114,0.008621202,0.0014829942,0.0003284258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050175656,0.00095074176,0.0011555798,0.001457419,0.001289017,0.004802744,0.0021286812,0.0017613366,0.008649009],"category_scores_gemma":[0.028670311,0.0008653702,0.0011391606,0.002252742,0.005645805,0.011531845,0.0037767156,0.0055232923,0.0014484809],"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":[0.00012814894,0.000038099224,0.00027633723,0.00009714763,0.000020015132,0.000057543857,0.00012955607,0.016760673,0.00095562,0.90012336,0.0037488507,0.07766466],"study_design_scores_gemma":[0.000014735418,0.00002039236,0.00012698756,0.000046275407,0.000015042263,0.00014612528,0.000023147933,0.05695428,0.0016887129,0.933825,0.0071168556,0.000022397351],"about_ca_topic_score_codex":0.0012054954,"about_ca_topic_score_gemma":0.0006357821,"teacher_disagreement_score":0.008649009,"about_ca_system_score_codex":0.0021269135,"about_ca_system_score_gemma":0.0022528342,"threshold_uncertainty_score":0.028933883},"labels":[],"label_agreement":null},{"id":"W4387870906","doi":"10.1109/icc45041.2023.10279761","title":"DIDs-Assisted Secure Cross-Metaverse Authentication Scheme for MEC-Enabled Metaverse","year":2023,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; China Railway","keywords":"Metaverse; Computer science; Authentication (law); Interoperability; The Internet; Computer security; World Wide Web; Virtual reality; Human–computer interaction","score_opus":0.043494733704863994,"score_gpt":0.3225152502083097,"score_spread":0.27902051650344567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387870906","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":[0.11558016,0.0011044317,0.8580166,0.0014457131,0.00059804646,0.0006728094,0.00056956115,0.0024242355,0.019588437],"genre_scores_gemma":[0.95926005,0.00020497022,0.032677274,0.00016666297,0.000056772184,0.00013396575,0.00024783076,0.00002261306,0.0072299885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998027,0.00042026353,0.00022002465,0.00037365235,0.0005365107,0.0004226357],"domain_scores_gemma":[0.9974147,0.00033588518,0.00030027534,0.0010788494,0.0006832198,0.00018706195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001191141,0.00048844295,0.00071606005,0.0010752262,0.001545245,0.0015086835,0.0012244583,0.0013142782,0.003582603],"category_scores_gemma":[0.003015186,0.0002592556,0.00055041537,0.0008783487,0.0009895463,0.0040369825,0.0046588345,0.0012257133,0.0013366599],"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":[0.003115267,0.00034113397,0.0074584945,0.0007854672,0.00026977697,0.0025618034,0.0016578463,0.0667778,0.16592874,0.4514411,0.01662845,0.28303418],"study_design_scores_gemma":[0.0004832754,0.000992864,0.0022353686,0.00018721537,0.00019365344,0.0033829613,0.00056064565,0.65181744,0.1523439,0.10088888,0.08658287,0.00033095072],"about_ca_topic_score_codex":0.00095554255,"about_ca_topic_score_gemma":0.000874881,"teacher_disagreement_score":0.003582603,"about_ca_system_score_codex":0.0014464966,"about_ca_system_score_gemma":0.0019258673,"threshold_uncertainty_score":0.011985004},"labels":[],"label_agreement":null},{"id":"W4389665206","doi":"10.1109/tce.2023.3342635","title":"C-NEST: Cloudlet-Based Privacy Preserving Multidimensional Data Stream Approach for Healthcare Electronics","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloudlet; Computer science; Data integrity; Cloud computing; Scalability; Distributed computing; Computer network; Computer security; Database","score_opus":0.061972132267348004,"score_gpt":0.3127046235889103,"score_spread":0.25073249132156233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389665206","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":[0.01315665,0.00035869435,0.9841649,0.00025842414,0.00006240572,0.000053317697,0.00007848121,0.0005102632,0.0013568565],"genre_scores_gemma":[0.73159945,0.00092574727,0.2615815,0.00041607328,0.00012819938,0.000089965935,0.00042347072,0.00008708039,0.0047484445],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995782,0.000081370585,0.000024807065,0.00007532118,0.00019667106,0.000043782333],"domain_scores_gemma":[0.99960655,0.0000926726,0.000050980747,0.000098924844,0.00011626663,0.00003453957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047358108,0.00032403308,0.00051827135,0.00028520753,0.00031449314,0.00079924,0.00086340215,0.00051963463,0.0015296086],"category_scores_gemma":[0.00089291204,0.00012617308,0.00044693504,0.00060518563,0.0003176629,0.0011581414,0.00078756537,0.0007957811,0.00046749046],"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":[0.0011584079,0.00034955877,0.003182024,0.00030216845,0.0001244853,0.0007118123,0.00019531447,0.32930377,0.075075835,0.066010155,0.015609382,0.5079771],"study_design_scores_gemma":[0.000017646424,0.00010821184,0.00024435986,0.000006418469,0.000010190872,0.00018552267,0.00002028054,0.9794642,0.010533163,0.005202549,0.0041983365,0.0000090526755],"about_ca_topic_score_codex":0.0008003574,"about_ca_topic_score_gemma":0.0007480821,"teacher_disagreement_score":0.0015296086,"about_ca_system_score_codex":0.00046683804,"about_ca_system_score_gemma":0.0005535914,"threshold_uncertainty_score":0.0051170588},"labels":[],"label_agreement":null},{"id":"W4390098733","doi":"10.36227/techrxiv.170327370.08954131/v1","title":"An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Cloud Data Security Solutions","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":"Concordia University","funders":"","keywords":"Trustworthiness; Cloud computing; Architecture; Computer science; Data science; World Wide Web; Computer security; Operating system; Geography; Archaeology","score_opus":0.034315002486768116,"score_gpt":0.32614914854138677,"score_spread":0.29183414605461866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390098733","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":[0.015584184,0.00010401084,0.9610153,0.00045480265,0.000035525733,0.00023327259,0.0001942904,0.020324191,0.0020544361],"genre_scores_gemma":[0.3361031,0.00020122377,0.6552979,0.00044053997,0.00006684881,0.00038560733,0.0016466778,0.0023886582,0.0034694935],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958359,0.0009783349,0.00045381137,0.0007376779,0.0016370921,0.0003572144],"domain_scores_gemma":[0.9894107,0.0027584368,0.0008103144,0.0048210546,0.0017106971,0.0004887725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053454433,0.0008305719,0.0006262479,0.0016788881,0.0010977795,0.0042478754,0.0029340757,0.0017131249,0.0032765626],"category_scores_gemma":[0.016105738,0.0007492968,0.0018658771,0.0010333798,0.0016001376,0.006529026,0.0059758276,0.0033221818,0.0009839798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017382262,0.0009195953,0.028278133,0.00078592065,0.0005648963,0.0022527282,0.0054289894,0.051295016,0.06946908,0.3612598,0.019924777,0.45808288],"study_design_scores_gemma":[0.00009801824,0.0002451563,0.004327402,0.000118093616,0.0001936692,0.0005765384,0.00040274303,0.7810711,0.054228395,0.09652888,0.06207042,0.00013955828],"about_ca_topic_score_codex":0.0066460534,"about_ca_topic_score_gemma":0.004872358,"teacher_disagreement_score":0.0066460534,"about_ca_system_score_codex":0.0017206782,"about_ca_system_score_gemma":0.0030906866,"threshold_uncertainty_score":0.028269768},"labels":[],"label_agreement":null},{"id":"W4392151820","doi":"10.1109/jiot.2024.3361801","title":"TrustNextGen: Security Aspects of Trustworthy Next-Generation Industrial Internet of Things","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Science and Engineering Research Board","keywords":"Computer science; Computer security; Internet of Things; Trustworthiness; Industrial Internet; The Internet; Internet privacy; Computer network; World Wide Web","score_opus":0.05814901797491358,"score_gpt":0.2776305381618814,"score_spread":0.21948152018696782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392151820","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":[0.06905624,0.0015756056,0.9035315,0.0016378417,0.00023534098,0.00019068965,0.0000607791,0.0005596951,0.023152342],"genre_scores_gemma":[0.95161337,0.00064815057,0.042813167,0.00010554031,0.000049228936,0.00005495201,0.000043865035,0.000037722,0.0046339966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989606,0.00030362688,0.000046587655,0.00011765917,0.00044953843,0.000122011304],"domain_scores_gemma":[0.9990202,0.00030901085,0.00013349688,0.00017928575,0.00029364906,0.00006423982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011729699,0.000260278,0.00030798875,0.00029958406,0.0006606675,0.0012810554,0.0007278749,0.00073292514,0.0016441286],"category_scores_gemma":[0.0030633262,0.00017702275,0.0004008141,0.00030531632,0.000772681,0.0027379717,0.0010269935,0.00082527875,0.00028660995],"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":[0.00043990285,0.00020309867,0.0055294833,0.00058874855,0.00012233632,0.0014677469,0.0010686123,0.20472841,0.031361856,0.54273796,0.008028294,0.20372349],"study_design_scores_gemma":[0.000040690138,0.00031497722,0.0011413987,0.00009355176,0.000052131305,0.000993757,0.00031680398,0.86296445,0.011748448,0.099504575,0.02277573,0.000053471183],"about_ca_topic_score_codex":0.0021973785,"about_ca_topic_score_gemma":0.0016955313,"teacher_disagreement_score":0.0021973785,"about_ca_system_score_codex":0.00079250213,"about_ca_system_score_gemma":0.0011135712,"threshold_uncertainty_score":0.0062033534},"labels":[],"label_agreement":null},{"id":"W4392200261","doi":"10.18280/isi.290101","title":"BAB-SDMM: Blockchain Attribute Based Secure Data Management Model","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Computer science; Computer security","score_opus":0.03410481677036165,"score_gpt":0.26310151661783665,"score_spread":0.228996699847475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392200261","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":[0.0325608,0.00056572,0.9470176,0.001273006,0.00020289849,0.00037242123,0.00090014754,0.0009883358,0.016119068],"genre_scores_gemma":[0.84021354,0.0011795282,0.14105423,0.00023136288,0.00011760691,0.00069160486,0.0010273291,0.00006350888,0.015421361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882597,0.00032372543,0.00009942449,0.00018534846,0.00042518586,0.00014030117],"domain_scores_gemma":[0.9992173,0.00023557157,0.000106808686,0.00016844855,0.00018174609,0.00009009912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011222883,0.0004133165,0.000590543,0.00061994145,0.0008956792,0.0016470624,0.0016887505,0.0010829263,0.0049223076],"category_scores_gemma":[0.0016424458,0.0002289044,0.00056502654,0.0012155107,0.00091080857,0.0027021926,0.001391252,0.000980857,0.0010284779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003955086,0.00017154275,0.001813155,0.00026845114,0.00007605233,0.000704148,0.0002752814,0.47813714,0.008273522,0.43614045,0.0075607444,0.06618411],"study_design_scores_gemma":[0.00006049784,0.00010078335,0.00020269933,0.000025580268,0.000019085644,0.00016669378,0.000029232202,0.90240973,0.0021056128,0.079128444,0.015725452,0.000026062266],"about_ca_topic_score_codex":0.0053777914,"about_ca_topic_score_gemma":0.004210481,"teacher_disagreement_score":0.0053777914,"about_ca_system_score_codex":0.0014090382,"about_ca_system_score_gemma":0.0028334095,"threshold_uncertainty_score":0.016466737},"labels":[],"label_agreement":null},{"id":"W4392237158","doi":"10.18280/isi.290126","title":"An Enhanced Cloud Storage Auditing Approach Using Boneh-Lynn-Shacham’s Signature and Automatic Blocker Protocol","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Audit; Cloud storage; Authentication (law); Protocol (science); Information privacy; Data verification; Public-key cryptography; Confidentiality","score_opus":0.016639657618508896,"score_gpt":0.2688291964810513,"score_spread":0.2521895388625424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392237158","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":[0.05638583,0.0006478381,0.9256868,0.00078141806,0.00020381047,0.00051481504,0.00010003467,0.0029747281,0.012704708],"genre_scores_gemma":[0.81753635,0.00038286304,0.17194639,0.00025405595,0.00012560187,0.00019673829,0.0001705454,0.00008657479,0.009300911],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99664766,0.0007569779,0.00023186009,0.00042990097,0.0015820151,0.0003514667],"domain_scores_gemma":[0.997889,0.00026149236,0.00021143102,0.0008206112,0.0006876954,0.00012979224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010107977,0.00033281554,0.0006804781,0.0012368101,0.001243133,0.0018210002,0.0016955313,0.001164738,0.0023527315],"category_scores_gemma":[0.0023108437,0.00031164748,0.0006181172,0.0011200715,0.0010662702,0.003141641,0.0025024668,0.0012882076,0.0014368821],"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":[0.0016226724,0.00037671957,0.005121935,0.0005307726,0.00013768913,0.0015065932,0.0013778141,0.02579491,0.20962526,0.19773175,0.008028549,0.5481453],"study_design_scores_gemma":[0.00028583093,0.0012367289,0.002914237,0.0001464271,0.00018008832,0.0054894644,0.00055825774,0.54484785,0.27153027,0.04776681,0.12462458,0.00041944964],"about_ca_topic_score_codex":0.0014169139,"about_ca_topic_score_gemma":0.0009479355,"teacher_disagreement_score":0.0023527315,"about_ca_system_score_codex":0.0009077537,"about_ca_system_score_gemma":0.0029909897,"threshold_uncertainty_score":0.007870734},"labels":[],"label_agreement":null},{"id":"W4392373821","doi":"10.18280/ijsse.140105","title":"Enhancing Data Security in Multi-Cloud Environments: A Product Cipher-Based Distributed Steganography Approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; Cloud computing; Steganography; Product (mathematics); Embedding; Operating system; Artificial intelligence; Mathematics","score_opus":0.018461449902212778,"score_gpt":0.2527708695135051,"score_spread":0.2343094196112923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392373821","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":[0.029430555,0.0007397791,0.96510756,0.0003463491,0.00004618754,0.00006984221,0.000020702611,0.00020864834,0.00403033],"genre_scores_gemma":[0.6810963,0.0014375289,0.3115447,0.00012405652,0.00006942183,0.00006710799,0.000049609578,0.00006365592,0.0055475477],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995296,0.00011554057,0.000021124057,0.00007289847,0.000200233,0.000060657254],"domain_scores_gemma":[0.9992938,0.00024848955,0.000090218666,0.00021401209,0.000117928736,0.00003552119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062876573,0.0005035604,0.0004488112,0.0006650229,0.0003948699,0.00082930154,0.00078645727,0.000660874,0.0010793991],"category_scores_gemma":[0.00088822463,0.00022175167,0.0005068557,0.0003714888,0.0011414634,0.0022045402,0.0014270731,0.00088309386,0.0004747502],"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":[0.00044256749,0.00022655811,0.0018197662,0.0004380637,0.00014351046,0.0006419991,0.0005464861,0.18369474,0.31260717,0.22555919,0.002248599,0.27163136],"study_design_scores_gemma":[0.00003731652,0.000329127,0.0004609355,0.00006470385,0.000044983604,0.0008777349,0.00010583298,0.8234395,0.13030657,0.030569896,0.013719422,0.000043981054],"about_ca_topic_score_codex":0.00053052494,"about_ca_topic_score_gemma":0.00066242146,"teacher_disagreement_score":0.0010793991,"about_ca_system_score_codex":0.0006098168,"about_ca_system_score_gemma":0.00073165953,"threshold_uncertainty_score":0.0044245124},"labels":[],"label_agreement":null},{"id":"W4393133305","doi":"10.23977/jeis.2024.090110","title":"Challenges and Solutions in Cloud Computing Security and Privacy Protection","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer security; Cloud computing security; Internet privacy; Computer science; Privacy protection; Information privacy; Data Protection Act 1998; Business","score_opus":0.029023018197790473,"score_gpt":0.2762283151046963,"score_spread":0.24720529690690585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393133305","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030668035,0.16254479,0.3647285,0.3625909,0.0028882485,0.00032627158,0.00023523645,0.00029550935,0.07572249],"genre_scores_gemma":[0.6374205,0.15763852,0.17115836,0.016420482,0.0050796224,0.00038093573,0.00024285092,0.00010983982,0.011549007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9885162,0.0038430057,0.00066224555,0.0011509353,0.0045011654,0.0013264061],"domain_scores_gemma":[0.99010974,0.005187534,0.00085381884,0.001205607,0.002080002,0.00056322786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009610836,0.00066201034,0.0008821894,0.001728129,0.0036666093,0.009444404,0.0020086102,0.00590987,0.0020944302],"category_scores_gemma":[0.010066533,0.0006016235,0.0011551429,0.0026452434,0.0056022024,0.014608565,0.004956793,0.009045539,0.00070171116],"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":[0.00003643458,0.00007432711,0.00086901366,0.0006419792,0.00003591106,0.00025380493,0.0007901685,0.0055678277,0.0014378768,0.8890448,0.0091298,0.09211815],"study_design_scores_gemma":[0.000016977818,0.00008266058,0.000746815,0.001204081,0.000031129075,0.00087227044,0.0030716192,0.033923898,0.0026990657,0.7963195,0.1609556,0.00007633089],"about_ca_topic_score_codex":0.0024895107,"about_ca_topic_score_gemma":0.001182886,"teacher_disagreement_score":0.009610836,"about_ca_system_score_codex":0.003448453,"about_ca_system_score_gemma":0.0060371635,"threshold_uncertainty_score":0.050827563},"labels":[],"label_agreement":null},{"id":"W4393857864","doi":"10.2139/ssrn.4783417","title":"Enhancing Data Privacy in Substations: An Analysis of Data Sharing Anonymization for the Iec61850 Protocols, with a Special Focus on Goose","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cloud Data Security Solutions","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":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Data sharing; Goose; Focus (optics); Information privacy; Computer science; Internet privacy; Computer security; Data science; Biology; Medicine","score_opus":0.07924321766275065,"score_gpt":0.3668582120467708,"score_spread":0.28761499438402016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393857864","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":[0.30166543,0.0022119477,0.6576588,0.0044628973,0.00013889335,0.0003867839,0.00050265546,0.00033823872,0.03263433],"genre_scores_gemma":[0.97222173,0.0011554571,0.02339264,0.00024334522,0.00011956089,0.00006895799,0.00018662764,0.00008482859,0.0025267592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99014217,0.005101018,0.0002212083,0.0006862494,0.0023579355,0.001491388],"domain_scores_gemma":[0.97604454,0.015504619,0.0015973456,0.0045399675,0.0020175024,0.0002961238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007056515,0.0007710948,0.0009092648,0.0019931241,0.0016328216,0.0036406328,0.0014783886,0.0014312767,0.0024297545],"category_scores_gemma":[0.02445929,0.0003856632,0.0015374749,0.002650821,0.0037238416,0.007494727,0.0025997162,0.0021145078,0.00030312015],"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":[0.00042820477,0.00014270614,0.004024786,0.00017921616,0.00014513575,0.00050392485,0.00073035277,0.23257475,0.003168802,0.7223739,0.003675347,0.032052863],"study_design_scores_gemma":[0.000022502827,0.00015523858,0.0021957878,0.00007546347,0.00012361316,0.00066541083,0.00058777153,0.6913444,0.0064502996,0.29334292,0.004991826,0.00004487907],"about_ca_topic_score_codex":0.0031660404,"about_ca_topic_score_gemma":0.0021989662,"teacher_disagreement_score":0.007056515,"about_ca_system_score_codex":0.0031278622,"about_ca_system_score_gemma":0.0024527106,"threshold_uncertainty_score":0.037318885},"labels":[],"label_agreement":null},{"id":"W4395683674","doi":"10.18280/ijsse.140211","title":"Security Concerns and Data Breaches for Data Deduplication Techniques in Cloud Storage: A Brief Meta-Analysis","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Computer security; Cloud storage; Database; Computer data storage; Encryption; Operating system","score_opus":0.07261054147753704,"score_gpt":0.3415395731866815,"score_spread":0.26892903170914445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395683674","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014311862,0.9520628,0.014638032,0.0056940657,0.0004988389,0.00039406688,0.00045992376,0.000075499316,0.011864854],"genre_scores_gemma":[0.18500942,0.77165633,0.028797943,0.007272482,0.0011721032,0.0008568301,0.0006917797,0.00016616493,0.0043768487],"study_design_codex":"design_other","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9858218,0.00565845,0.0031128984,0.0013067696,0.0034677053,0.00063233776],"domain_scores_gemma":[0.8584763,0.11978149,0.008965324,0.0031158614,0.0091445595,0.000516492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017787546,0.0013437523,0.0017679419,0.012995452,0.0011762466,0.0072806873,0.0015383199,0.0025360726,0.005121328],"category_scores_gemma":[0.070025764,0.0013706028,0.00596292,0.006598512,0.0020925456,0.007982751,0.0026295783,0.004202106,0.0005892422],"study_design_candidate":"meta_analysis","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":[0.0013152643,0.0004267129,0.01508261,0.11173779,0.009107702,0.0003317887,0.0044875173,0.0043808077,0.0033645038,0.07763866,0.0076146233,0.764512],"study_design_scores_gemma":[0.00025182858,0.0025569866,0.02915977,0.36754498,0.051083535,0.003457713,0.007917071,0.005529207,0.016638067,0.06333823,0.45210445,0.00041820933],"about_ca_topic_score_codex":0.0061722463,"about_ca_topic_score_gemma":0.0087373275,"teacher_disagreement_score":0.017787546,"about_ca_system_score_codex":0.008016475,"about_ca_system_score_gemma":0.006810495,"threshold_uncertainty_score":0.09407067},"labels":[],"label_agreement":null},{"id":"W4396560803","doi":"10.12688/openreseurope.16703.2","title":"Continuous Auditing and Continuous Certification of Cloud Services in MEDINA – Security Auditor’s View","year":2024,"lang":"en","type":"article","venue":"Open Research Europe","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":"123 Certification (Canada)","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Certification; Audit; Context (archaeology); Accounting; Cloud computing; Certified Information Systems Security Professional; Information security audit; Business; Order (exchange); Process management; Computer science; Engineering management; Engineering; Cloud computing security; Management; Finance; Economics","score_opus":0.06925998668551495,"score_gpt":0.37229063141461655,"score_spread":0.3030306447291016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396560803","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102962926,0.046789892,0.20778489,0.16994749,0.0032869861,0.00017830687,0.00010443425,0.0005898085,0.46835515],"genre_scores_gemma":[0.9356381,0.0059431065,0.02679258,0.007078145,0.0010365308,0.000052265954,0.000024552131,0.00008178449,0.023352891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993414,0.002795208,0.0003470183,0.000980395,0.0018007082,0.0006627462],"domain_scores_gemma":[0.99386626,0.0025558353,0.00084085326,0.0010578439,0.0010770042,0.00060223334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072675543,0.00035142404,0.00034775864,0.0019071165,0.0021753728,0.013032587,0.0012722695,0.004072603,0.0019488438],"category_scores_gemma":[0.0063872733,0.00042481214,0.0007157138,0.00080548937,0.01575918,0.011231696,0.0053486363,0.0064528366,0.00040486897],"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":[0.00005355802,0.000019801299,0.0006233159,0.00010030452,0.0000112346925,0.00018523593,0.0035953792,0.00077416684,0.0008957292,0.971073,0.00239585,0.02027253],"study_design_scores_gemma":[0.000039104354,0.00018245258,0.0043402323,0.0017896451,0.000043759937,0.0016955966,0.0077129733,0.008777068,0.005950849,0.50755215,0.46177635,0.0001398771],"about_ca_topic_score_codex":0.0037027607,"about_ca_topic_score_gemma":0.0024345904,"teacher_disagreement_score":0.013032587,"about_ca_system_score_codex":0.006086562,"about_ca_system_score_gemma":0.0047021755,"threshold_uncertainty_score":0.04416126},"labels":[],"label_agreement":null},{"id":"W4396685294","doi":"10.9734/jerr/2024/v26i61162","title":"Securing the Digital Frontier: Strategies for Cloud Computing Security, Database Protection, and Comprehensive Penetration Testing","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Research and Reports","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cloud computing; Computer science; Frontier; Computer security; Database; Penetration (warfare); Database security; Operating system; Engineering; Operations research; Political science","score_opus":0.057207009611159765,"score_gpt":0.3162940383488432,"score_spread":0.2590870287376834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396685294","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67019683,0.008618235,0.18415773,0.03648764,0.00014170648,0.00080858887,0.000044701217,0.00032813422,0.09921638],"genre_scores_gemma":[0.97971845,0.0010485217,0.017474197,0.0006307245,0.000013854763,0.00007589182,0.0000120697805,0.0000095297155,0.0010166635],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99463,0.002920054,0.00024236497,0.00040207495,0.0011728419,0.0006326181],"domain_scores_gemma":[0.992151,0.0030649798,0.0018955098,0.0007993034,0.00093193055,0.0011574251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062047374,0.00083733845,0.00038092642,0.0029053313,0.0021789,0.0071758763,0.001181503,0.0015758264,0.0022645956],"category_scores_gemma":[0.009407708,0.00028221373,0.00054032874,0.0017394047,0.0051095313,0.008587856,0.006652179,0.0017893243,0.00028850907],"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":[0.00019939622,0.0012100494,0.057509556,0.0009598578,0.00018570994,0.0012737119,0.023039268,0.010992437,0.009315011,0.27577832,0.002972972,0.61656374],"study_design_scores_gemma":[0.0002234251,0.0034293064,0.12231485,0.0058322786,0.0005412668,0.005652763,0.19285591,0.07832694,0.031813763,0.42769396,0.13092376,0.00039183538],"about_ca_topic_score_codex":0.0014485456,"about_ca_topic_score_gemma":0.002198282,"teacher_disagreement_score":0.0071758763,"about_ca_system_score_codex":0.002656016,"about_ca_system_score_gemma":0.0076645217,"threshold_uncertainty_score":0.032814205},"labels":[],"label_agreement":null},{"id":"W4398163933","doi":"10.1109/aimla59606.2024.10531472","title":"A Secure Approach to Avoid Data Repetition in Cloud Storage Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cloud computing; Cloud storage; Computer science; Computer data storage; Data security; Information repository; Computer security; Simple (philosophy); Data management; Data integrity; Database; Distributed computing; Encryption; Operating system","score_opus":0.047337105100396876,"score_gpt":0.2826589222863604,"score_spread":0.23532181718596354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398163933","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":[0.049649596,0.0031768277,0.91045004,0.0045245383,0.00079554034,0.0009594067,0.00032325197,0.005088412,0.025032407],"genre_scores_gemma":[0.72349936,0.0017139245,0.2550258,0.0010809555,0.0004066886,0.00045281104,0.00032499936,0.00046165654,0.017033886],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99423146,0.0007806047,0.0004889981,0.0006399789,0.0032570795,0.0006019013],"domain_scores_gemma":[0.99435127,0.0005581787,0.0005641207,0.0029431686,0.0013498918,0.00023341694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019320272,0.00066203903,0.0006372286,0.0011801269,0.0031014713,0.003621257,0.002562279,0.0014779698,0.005302073],"category_scores_gemma":[0.005891164,0.00075137976,0.0008970586,0.0012206342,0.0017961704,0.0070290877,0.005581299,0.0021213726,0.002969489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009012769,0.00038874548,0.006238311,0.00090917706,0.00023253779,0.0017001776,0.0024871964,0.036910646,0.09955926,0.38780797,0.035978276,0.4268865],"study_design_scores_gemma":[0.00023843716,0.0008698809,0.003263684,0.00053492415,0.00030963833,0.004072587,0.0013039922,0.33565012,0.15016931,0.2356647,0.26756778,0.0003549899],"about_ca_topic_score_codex":0.0022222924,"about_ca_topic_score_gemma":0.0017710245,"teacher_disagreement_score":0.005302073,"about_ca_system_score_codex":0.0015823601,"about_ca_system_score_gemma":0.0036543596,"threshold_uncertainty_score":0.01773721},"labels":[],"label_agreement":null},{"id":"W4399589185","doi":"10.1201/9781003471059-53","title":"Analysis of data backup and recovery strategies in the cloud","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Cloud Data Security Solutions","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":"Wilfrid Laurier University","funders":"","keywords":"Backup; Cloud computing; Computer science; Computer security; Database; Operating system","score_opus":0.06266414902113505,"score_gpt":0.2970189178552485,"score_spread":0.23435476883411344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399589185","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42996058,0.028294705,0.16208117,0.0076864036,0.00022069902,0.00040723043,0.0012705282,0.00047465917,0.369604],"genre_scores_gemma":[0.87742853,0.013669497,0.06462938,0.0005076255,0.000065864486,0.00011869726,0.00063706527,0.00012529387,0.042818088],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947554,0.00015169763,0.0000130832605,0.00006459538,0.00022734648,0.00006777237],"domain_scores_gemma":[0.99886155,0.00078373944,0.000088220186,0.00006754368,0.0001643397,0.000034575074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008572437,0.00023310652,0.00022692823,0.0012647784,0.0005207696,0.0020114358,0.0006524163,0.00038880872,0.0040167207],"category_scores_gemma":[0.001664879,0.000118263444,0.00029583185,0.0019536242,0.00044240887,0.0017041756,0.00042325587,0.00046011637,0.0006099822],"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":[0.0001580839,0.00032798163,0.014527051,0.00067760923,0.00005273563,0.00037544908,0.0016759246,0.060780525,0.007087833,0.3476631,0.019219028,0.5474547],"study_design_scores_gemma":[0.000044807137,0.00050430995,0.04622468,0.0010822904,0.00011868504,0.0012002607,0.010653744,0.44844425,0.025846235,0.22750534,0.23827161,0.00010374724],"about_ca_topic_score_codex":0.004256064,"about_ca_topic_score_gemma":0.0071146856,"teacher_disagreement_score":0.004256064,"about_ca_system_score_codex":0.0021787537,"about_ca_system_score_gemma":0.0015818472,"threshold_uncertainty_score":0.015808046},"labels":[],"label_agreement":null},{"id":"W4400315291","doi":"10.1109/icrtcst61793.2024.10578357","title":"Enhancing Data Privacy in IoT Cloud Environments with Trust Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Horizon College and Seminary","funders":"","keywords":"Cloud computing; Computer science; Internet of Things; Internet privacy; Information privacy; Computer security; Trust management (information system)","score_opus":0.026099886417228657,"score_gpt":0.265009768601102,"score_spread":0.23890988218387332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400315291","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":[0.12746644,0.0006541294,0.8507169,0.0050494713,0.00015001993,0.000263251,0.00007973807,0.00038659576,0.015233482],"genre_scores_gemma":[0.94142944,0.00021887194,0.056864645,0.00024231561,0.00004519901,0.0000653683,0.000030996227,0.00003330831,0.0010697162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9912184,0.0048822444,0.00047323472,0.0007311444,0.0016819946,0.0010128906],"domain_scores_gemma":[0.97975117,0.008464092,0.003264957,0.005218949,0.002165131,0.0011357092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00805486,0.0005176207,0.00066834653,0.00056635216,0.0027495616,0.00461259,0.0014126645,0.001391203,0.001077203],"category_scores_gemma":[0.02315394,0.00045759237,0.0010244309,0.0008372655,0.0023573742,0.007994364,0.0057434374,0.002805699,0.0002610066],"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":[0.0010001002,0.00085902284,0.02357816,0.00037210502,0.00027312,0.0015354829,0.00522505,0.22331652,0.016159976,0.53687733,0.008282299,0.18252079],"study_design_scores_gemma":[0.000066198525,0.00013195178,0.0015109623,0.00006392166,0.0000633053,0.00030715042,0.0012742499,0.79246205,0.0054755956,0.19001487,0.008571818,0.000057821486],"about_ca_topic_score_codex":0.003994387,"about_ca_topic_score_gemma":0.0031486617,"teacher_disagreement_score":0.00805486,"about_ca_system_score_codex":0.0024025731,"about_ca_system_score_gemma":0.0035725858,"threshold_uncertainty_score":0.042598724},"labels":[],"label_agreement":null},{"id":"W4400447774","doi":"10.1109/tmc.2024.3415661","title":"Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":72,"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 British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Inference; Cloud computing; Resource allocation; Enhanced Data Rates for GSM Evolution; Distributed computing; Artificial intelligence; Computer network","score_opus":0.02912644320797005,"score_gpt":0.2995773100000774,"score_spread":0.2704508667921074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400447774","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":[0.022321776,0.0003892259,0.97333694,0.00064626615,0.00006365099,0.0000684715,0.00012730614,0.0020025193,0.0010438372],"genre_scores_gemma":[0.7638154,0.00030891565,0.23074527,0.0008849464,0.00015687171,0.00018888859,0.00044851605,0.0003501294,0.0031010904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885845,0.00039033085,0.00005848668,0.00030328849,0.00019144043,0.00019801116],"domain_scores_gemma":[0.9970204,0.00211807,0.00016980535,0.00022523633,0.0003259478,0.00014054272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018107857,0.001098043,0.0015106011,0.00073167623,0.0007280337,0.0013971904,0.0025411812,0.0010757186,0.0018141944],"category_scores_gemma":[0.0052073,0.0008405064,0.0010269328,0.00078247336,0.00086001604,0.0026930138,0.0016089082,0.0027473555,0.0004200027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042468985,0.00032642865,0.001984208,0.00016342902,0.00013083716,0.0002752728,0.00028348793,0.76613295,0.0060543823,0.0123867635,0.00572704,0.20611058],"study_design_scores_gemma":[0.000006875492,0.0000054995076,0.000035921395,0.0000018003484,0.000004799913,0.000004907286,0.000006549238,0.9972831,0.00035946124,0.0021510446,0.00013708991,0.0000029266494],"about_ca_topic_score_codex":0.019434744,"about_ca_topic_score_gemma":0.02684699,"teacher_disagreement_score":0.019434744,"about_ca_system_score_codex":0.0012156027,"about_ca_system_score_gemma":0.0028032947,"threshold_uncertainty_score":0.03864324},"labels":[],"label_agreement":null},{"id":"W4401505804","doi":"10.2139/ssrn.4909659","title":"Engaging Toronto's Digital Infrastructure Strategic Framework (DISF) to Model Trusted Data Sharing","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cloud Data Security Solutions","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":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Business; Data sharing; Process management; Computer security","score_opus":0.03445406169058682,"score_gpt":0.30209936513927976,"score_spread":0.267645303448693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401505804","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0736402,0.0008679335,0.114294596,0.059972618,0.0005167797,0.00041706386,0.00071545376,0.0007098495,0.7488656],"genre_scores_gemma":[0.9002079,0.00053178525,0.038708165,0.001476813,0.000054288408,0.0001277222,0.00030361937,0.00018615845,0.05840354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99520457,0.001722828,0.00012428469,0.00038297172,0.0012046574,0.0013606679],"domain_scores_gemma":[0.99489874,0.0012904969,0.00024216752,0.0006768653,0.0011553816,0.0017362701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046899933,0.0006253693,0.00026151226,0.001429088,0.0066089286,0.012757517,0.001988868,0.0037420664,0.0104221925],"category_scores_gemma":[0.0086604515,0.00048633927,0.0005953086,0.0017216032,0.0070269145,0.0059666433,0.008680786,0.003911772,0.001038877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019532892,0.000013275812,0.00069001096,0.000025470012,0.000006049877,0.00015645602,0.0014066963,0.008676449,0.00020282454,0.9727482,0.010804071,0.005251087],"study_design_scores_gemma":[0.00006234359,0.000096276344,0.0016889969,0.00028555625,0.000039208808,0.0002291288,0.010130123,0.07939174,0.001622078,0.3760576,0.53023887,0.00015803638],"about_ca_topic_score_codex":0.69752705,"about_ca_topic_score_gemma":0.76773995,"teacher_disagreement_score":0.69752705,"about_ca_system_score_codex":0.056957494,"about_ca_system_score_gemma":0.07103338,"threshold_uncertainty_score":0.6085085},"labels":[],"label_agreement":null},{"id":"W4401943323","doi":"10.1109/cloud62652.2024.00025","title":"The Impact of Low-Entropy on Chunking Techniques for Data Deduplication","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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 Waterloo","funders":"","keywords":"Data deduplication; Computer science; Chunking (psychology); Entropy (arrow of time); Data mining; Artificial intelligence; Database","score_opus":0.04545354339114876,"score_gpt":0.36680044430694575,"score_spread":0.321346900915797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401943323","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":[0.8665679,0.0074789356,0.1187957,0.0005068769,0.00034049555,0.00037165926,0.0004006825,0.002553311,0.0029844625],"genre_scores_gemma":[0.9494375,0.00058700715,0.049040604,0.00008851872,0.000058633435,0.000052300067,0.0002507343,0.00009528297,0.00038949132],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971033,0.0007083198,0.00040033084,0.00039887507,0.0011526335,0.00023659266],"domain_scores_gemma":[0.96776116,0.022090308,0.0026038191,0.004258238,0.0028259878,0.00046049114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003638558,0.00072804,0.000516448,0.0012924635,0.0008232861,0.0014748648,0.0011394509,0.0004954495,0.00072825095],"category_scores_gemma":[0.026964715,0.0002608964,0.0002730893,0.0009972759,0.0010124564,0.0030098225,0.0014538268,0.00069680053,0.00024731658],"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":[0.0050614886,0.0006936535,0.0682797,0.0014161296,0.00038114304,0.0009809613,0.0012859787,0.1602046,0.1963993,0.0070481184,0.004109167,0.5541399],"study_design_scores_gemma":[0.00017699934,0.0028603496,0.031014243,0.00027494493,0.00022172222,0.0017530399,0.000967201,0.47844234,0.47060516,0.005900046,0.00761817,0.00016581271],"about_ca_topic_score_codex":0.00089294015,"about_ca_topic_score_gemma":0.0014215587,"teacher_disagreement_score":0.003638558,"about_ca_system_score_codex":0.00073294464,"about_ca_system_score_gemma":0.0010460643,"threshold_uncertainty_score":0.019242704},"labels":[],"label_agreement":null},{"id":"W4402384818","doi":"10.1007/978-3-031-93319-6_8","title":"Enhancing Data Integrity with CSDT: A Solution to Predict Data Disturbance in IoT Systems","year":2025,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Cloud Data Security Solutions","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":"Polytechnique Montréal","funders":"","keywords":"Disturbance (geology); Internet of Things; Computer science; Data integrity; Computer security; Geology","score_opus":0.024426102544171904,"score_gpt":0.2868734989306539,"score_spread":0.262447396386482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402384818","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":[0.010362645,0.00096977653,0.9719026,0.0008967706,0.0003826896,0.00010838055,0.0002527143,0.0036002893,0.011524223],"genre_scores_gemma":[0.41717756,0.0023904454,0.5504444,0.0007785563,0.0005084191,0.00013473244,0.0008481758,0.00056806084,0.027149638],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999302,0.00008584963,0.00003636426,0.00011547417,0.0004024902,0.000057807913],"domain_scores_gemma":[0.99842876,0.00036929513,0.00016486709,0.0003574426,0.00061737164,0.00006227911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084450515,0.0010238122,0.0005268581,0.0009863047,0.0005075933,0.002132911,0.0013451729,0.0011167506,0.0043583494],"category_scores_gemma":[0.0026938017,0.00032124232,0.00048284538,0.0010816179,0.000628185,0.002723888,0.0014207215,0.0015768943,0.0017793382],"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":[0.00028763115,0.00018078668,0.0037077493,0.00030345825,0.000067954636,0.00025082062,0.00023279335,0.08451255,0.04431383,0.056331873,0.031551115,0.7782595],"study_design_scores_gemma":[0.000023154887,0.0001470541,0.000866139,0.000071933166,0.000060565366,0.00041153625,0.000094363204,0.85117006,0.0609585,0.03250781,0.05364809,0.000040752973],"about_ca_topic_score_codex":0.0021234571,"about_ca_topic_score_gemma":0.0022668499,"teacher_disagreement_score":0.0043583494,"about_ca_system_score_codex":0.0008030625,"about_ca_system_score_gemma":0.0012811266,"threshold_uncertainty_score":0.014580131},"labels":[],"label_agreement":null},{"id":"W4402651435","doi":"10.1051/e3sconf/202456911003","title":"A study on the materials of smart barrier for selectively blocked TCE and TPH","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Division of Human Resource Development; Ministry of Environment","keywords":"Chemistry; Environmental chemistry; Environmental science","score_opus":0.04430028289349348,"score_gpt":0.2944043382682124,"score_spread":0.2501040553747189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402651435","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":[0.9895376,0.004099882,0.0029559026,0.000108316235,0.00004636524,0.000042473028,0.000071196395,0.000029893998,0.003108263],"genre_scores_gemma":[0.99152815,0.0020151194,0.0032154887,0.000051240957,0.0000093125755,0.000026742611,0.00006199382,0.00000796013,0.0030839515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988663,0.000010479814,0.000005139114,0.000020422372,0.000054432818,0.00002288755],"domain_scores_gemma":[0.9999106,0.000018324767,0.000020446772,0.00000655323,0.000032693264,0.000011414691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115631854,0.00022604242,0.000119353856,0.00024397144,0.00018093734,0.00019135831,0.00016356839,0.00033158733,0.0008252021],"category_scores_gemma":[0.00020401379,0.000116011564,0.00022446728,0.0001762322,0.00013224359,0.00040495544,0.00012535318,0.0002804879,0.00018296838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043008557,0.00002825308,0.00031298687,0.00023971986,0.000008370572,0.000116875264,0.000044780245,0.00019873341,0.9940355,0.00029873077,0.00009665378,0.004576338],"study_design_scores_gemma":[0.0000056186577,0.0003685324,0.0022054333,0.000012682589,0.000021422935,0.00019294585,0.000060808252,0.0011268292,0.99108183,0.00003474912,0.004881512,0.0000076271176],"about_ca_topic_score_codex":0.00088313426,"about_ca_topic_score_gemma":0.0019506653,"teacher_disagreement_score":0.00088313426,"about_ca_system_score_codex":0.00017895186,"about_ca_system_score_gemma":0.00018107229,"threshold_uncertainty_score":0.0027605295},"labels":[],"label_agreement":null},{"id":"W4402896850","doi":"10.1109/sera61261.2024.10685587","title":"Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Vulnerability (computing); Computer science; Computer security","score_opus":0.016418563739049513,"score_gpt":0.2634195135534486,"score_spread":0.2470009498143991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402896850","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":[0.9892245,0.00036519105,0.0064491383,0.00020841263,0.000016349642,0.00013468353,0.00055384403,0.00039244702,0.0026553737],"genre_scores_gemma":[0.98612297,0.0003123511,0.010589168,0.00006134133,0.000024562365,0.00019078006,0.0012059712,0.00016530743,0.0013275897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946266,0.0013825393,0.0004531881,0.00077553495,0.00209728,0.0006649838],"domain_scores_gemma":[0.93584317,0.032107167,0.019382752,0.0033685914,0.006610287,0.002688026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005155041,0.0006530636,0.00030752516,0.0076822517,0.000969304,0.0018620233,0.0008180022,0.0007414479,0.0013842158],"category_scores_gemma":[0.049600102,0.00042834054,0.00046195206,0.004291351,0.00095844065,0.0029515463,0.0028946593,0.00094920944,0.00048832776],"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":[0.00042350855,0.00031631073,0.852798,0.0008987785,0.00009411988,0.0020171176,0.0126290545,0.0031795087,0.014273832,0.0016586961,0.002459631,0.10925147],"study_design_scores_gemma":[0.00001673953,0.00039366234,0.94664955,0.00033823636,0.00011498215,0.0016698203,0.011497804,0.015290704,0.009283918,0.0026088518,0.012066275,0.00006948838],"about_ca_topic_score_codex":0.0025087532,"about_ca_topic_score_gemma":0.0058714002,"teacher_disagreement_score":0.0076822517,"about_ca_system_score_codex":0.0010030565,"about_ca_system_score_gemma":0.0017600424,"threshold_uncertainty_score":0.027262807},"labels":[],"label_agreement":null},{"id":"W4403670161","doi":"10.18280/isi.290523","title":"Security Analysis of SQL Injection Attacks on Multimedia and Journal-Services Sites Using Concatenated Input Validation and Parsing Method (CIVP)","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"SQL injection; Computer science; Parsing; SQL; Programming language; Database; Query by Example; Information retrieval; Search engine","score_opus":0.02403104775727021,"score_gpt":0.2997361529863077,"score_spread":0.27570510522903746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403670161","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":[0.81031615,0.0003878053,0.17449415,0.00020429432,0.000056745645,0.0002981994,0.00089079235,0.010259745,0.0030922946],"genre_scores_gemma":[0.94186294,0.000118487646,0.05619233,0.00003339816,0.000008633795,0.00009031997,0.00065237284,0.00010587405,0.0009356473],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839896,0.0003853473,0.00017727133,0.00028975547,0.00062308885,0.00012561816],"domain_scores_gemma":[0.99689156,0.0012584156,0.0005863997,0.0004968411,0.0006760319,0.00009082757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013598495,0.0004833047,0.0003274978,0.0017130304,0.00032203036,0.0007475487,0.00042645677,0.00042657854,0.0011252782],"category_scores_gemma":[0.003888224,0.00017553857,0.00041183573,0.0008263958,0.0003185834,0.00094432035,0.00046829818,0.00042893403,0.0003897374],"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":[0.0017707081,0.0006930454,0.1402121,0.00081909465,0.0003700134,0.0024837484,0.0015419018,0.017553858,0.24364027,0.004420103,0.005384924,0.5811103],"study_design_scores_gemma":[0.000058826707,0.0014529671,0.12446118,0.000089945686,0.00017087333,0.0040201503,0.0006156558,0.42566857,0.43559244,0.0024066207,0.0052835867,0.00017920005],"about_ca_topic_score_codex":0.0008639124,"about_ca_topic_score_gemma":0.0006668272,"teacher_disagreement_score":0.0017130304,"about_ca_system_score_codex":0.00029385544,"about_ca_system_score_gemma":0.00058330543,"threshold_uncertainty_score":0.007191658},"labels":[],"label_agreement":null},{"id":"W4404515063","doi":"10.1145/3689938","title":"Proceedings of the 2024 on Cloud Computing Security Workshop","year":2024,"lang":"en","type":"paratext","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science and Technology Council; Mitacs; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Cloud computing; Computer science; Cloud computing security; Computer security; Data science; Operating system","score_opus":0.021843830861196883,"score_gpt":0.28120321665108766,"score_spread":0.25935938578989076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404515063","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017151915,0.027762974,0.14496472,0.10834447,0.088972636,0.0020054337,0.005525417,0.0039259,0.60134655],"genre_scores_gemma":[0.06717522,0.016712517,0.052861802,0.008488571,0.012049899,0.0010056968,0.014369589,0.0020336413,0.8253029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968004,0.00075598503,0.00014003908,0.00043127136,0.0014083537,0.00046383264],"domain_scores_gemma":[0.99698895,0.000513372,0.000070124646,0.00047900665,0.0009571279,0.0009914463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004700473,0.0013273174,0.00097194733,0.0011732689,0.0026362888,0.006474004,0.0019363814,0.0027160083,0.08712907],"category_scores_gemma":[0.0040558977,0.00038794792,0.0009986326,0.001479473,0.00093641755,0.00433733,0.0045484533,0.0040601394,0.043673154],"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":[0.00021906976,0.00016269203,0.00043927768,0.00023561483,0.000022641629,0.00023372311,0.00026527798,0.0013142731,0.002456861,0.03917307,0.81821924,0.13725811],"study_design_scores_gemma":[0.000017143513,0.000025754638,0.00025024355,0.00012462976,0.0000070617725,0.000087400535,0.00013284975,0.0029055362,0.00087831565,0.008670169,0.98689044,0.000010559435],"about_ca_topic_score_codex":0.004525241,"about_ca_topic_score_gemma":0.009072781,"teacher_disagreement_score":0.08712907,"about_ca_system_score_codex":0.0034584156,"about_ca_system_score_gemma":0.005236578,"threshold_uncertainty_score":0.29147577},"labels":[],"label_agreement":null},{"id":"W4404516435","doi":"10.61356/j.mawa.2024.5429","title":"Authentication in Cloud Computing Environments","year":2024,"lang":"en","type":"article","venue":"Multicriteria Algorithms with Applications","topic":"Cloud Data Security Solutions","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":"Carleton University","funders":"","keywords":"Cloud computing; Computer science; Authentication (law); Computer security; Operating system","score_opus":0.01518543735031652,"score_gpt":0.27304636688835954,"score_spread":0.257860929538043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404516435","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":[0.0323212,0.013261315,0.87984234,0.0067261467,0.0013467749,0.00070417015,0.00028249677,0.0017692802,0.063746296],"genre_scores_gemma":[0.80144244,0.009849765,0.16611153,0.0009873074,0.00076309766,0.0002944725,0.00034727002,0.00020594925,0.019998226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99260134,0.0023417894,0.0005373376,0.0009510591,0.0023393051,0.0012291878],"domain_scores_gemma":[0.9957696,0.0010226069,0.00048484802,0.0014130559,0.0009903094,0.000319543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034210114,0.0006746089,0.00095580245,0.0016160941,0.0035674975,0.0072053215,0.0015515937,0.0023550158,0.0039257705],"category_scores_gemma":[0.007944782,0.0005564364,0.0008823079,0.0022970845,0.0026870077,0.009247554,0.0061914055,0.002464609,0.0024307428],"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":[0.0002307204,0.00006208275,0.0020645247,0.0004663677,0.000045802062,0.0006629244,0.00071676,0.018340182,0.006122812,0.80792236,0.013400471,0.14996497],"study_design_scores_gemma":[0.00006862391,0.0001452469,0.0017299608,0.00061942707,0.00009413866,0.0024611393,0.0012697224,0.27027142,0.017189333,0.4817708,0.2242005,0.00017962488],"about_ca_topic_score_codex":0.0037479142,"about_ca_topic_score_gemma":0.0021559945,"teacher_disagreement_score":0.0072053215,"about_ca_system_score_codex":0.002748921,"about_ca_system_score_gemma":0.0033960347,"threshold_uncertainty_score":0.019944906},"labels":[],"label_agreement":null},{"id":"W4404788545","doi":"10.1145/3652892.3700766","title":"SeqCDC: Hashless Content-Defined Chunking for Data Deduplication","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":4,"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 Waterloo","funders":"","keywords":"Data deduplication; Chunking (psychology); Computer science; Content (measure theory); Database; Artificial intelligence; Mathematics","score_opus":0.2112468551892526,"score_gpt":0.34631241561652043,"score_spread":0.13506556042726783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404788545","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":[0.032956813,0.0040831817,0.89221567,0.00078129873,0.0019344608,0.001603836,0.005372849,0.043356445,0.017695434],"genre_scores_gemma":[0.51737094,0.0017674249,0.4405249,0.0013298199,0.00056503486,0.0011483515,0.012710607,0.0019779427,0.022605022],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988009,0.00015595937,0.00014265224,0.0001980906,0.00055885076,0.0001434934],"domain_scores_gemma":[0.9965802,0.0005905515,0.00016266463,0.001393471,0.0010752344,0.00019784743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015507251,0.0006899797,0.00062188815,0.0012834362,0.0011067948,0.0014914655,0.0020341014,0.0007213472,0.0070436667],"category_scores_gemma":[0.0054753628,0.00032080253,0.00032376472,0.0012283284,0.00083605724,0.001964654,0.0031283097,0.0009762983,0.0037660433],"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":[0.0026459934,0.0003370498,0.004603804,0.0013525133,0.00020515034,0.0008005673,0.00069587136,0.033882648,0.08918685,0.045254223,0.21234903,0.60868627],"study_design_scores_gemma":[0.000610136,0.0010592205,0.002451779,0.00025938053,0.00011135345,0.0017267728,0.00043886094,0.37300307,0.2924704,0.043667316,0.28388512,0.00031654738],"about_ca_topic_score_codex":0.0016733746,"about_ca_topic_score_gemma":0.0022100399,"teacher_disagreement_score":0.0070436667,"about_ca_system_score_codex":0.0007607583,"about_ca_system_score_gemma":0.002257031,"threshold_uncertainty_score":0.023563385},"labels":[],"label_agreement":null},{"id":"W4405022375","doi":"10.1109/tce.2024.3510747","title":"Two-in-One Solution: Simultaneously Enhancing Security and Privacy for Data-Driven Models in Mobile Edge Computing","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Computer science; Information privacy; Mobile edge computing; Data security; Edge computing; Computer security; Enhanced Data Rates for GSM Evolution; Mobile computing; Privacy software; Computer network; Encryption; Telecommunications","score_opus":0.03421551362889675,"score_gpt":0.29717697205699944,"score_spread":0.2629614584281027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405022375","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":[0.019673975,0.00019493095,0.9767975,0.00091310695,0.000053724954,0.000108029766,0.00006579124,0.000520633,0.0016723046],"genre_scores_gemma":[0.5066064,0.00035065465,0.4892188,0.0005888953,0.0000946782,0.00018042437,0.0002160431,0.00016983134,0.0025743374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937522,0.0027836873,0.00027994544,0.0007805094,0.00197729,0.00042635686],"domain_scores_gemma":[0.98926115,0.0038397305,0.00063278084,0.004853786,0.0010281787,0.0003842947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069504734,0.0013091362,0.0012422575,0.0009546707,0.0010884996,0.0027523234,0.0022308105,0.0022515357,0.0019125994],"category_scores_gemma":[0.01246366,0.00075137476,0.002012651,0.0008374147,0.0015533956,0.0077421986,0.006509306,0.0038420658,0.0005699948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007846755,0.0012849282,0.0067388467,0.0004300834,0.0006634726,0.00044977025,0.0010431609,0.40343922,0.026522184,0.18369156,0.007616325,0.36733568],"study_design_scores_gemma":[0.000038043207,0.00014160413,0.00026378903,0.000027378324,0.0000609528,0.0002113313,0.00012580631,0.91693896,0.010882398,0.06704974,0.0042199204,0.00004002487],"about_ca_topic_score_codex":0.0014381134,"about_ca_topic_score_gemma":0.002854765,"teacher_disagreement_score":0.0069504734,"about_ca_system_score_codex":0.0010531954,"about_ca_system_score_gemma":0.0028880895,"threshold_uncertainty_score":0.036758006},"labels":[],"label_agreement":null},{"id":"W4406179441","doi":"10.55041/ijsrem40505","title":"Secured File Sharing Through Quantum Computing","year":2025,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; File sharing; Computer security; Internet privacy; Operating system; The Internet","score_opus":0.051099465463152575,"score_gpt":0.35316127382313905,"score_spread":0.3020618083599865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406179441","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":[0.27207813,0.0019958613,0.64358056,0.0030587248,0.00044920994,0.0005742237,0.0008243177,0.004665909,0.07277311],"genre_scores_gemma":[0.94017446,0.00040643642,0.049434755,0.00015847832,0.000076973796,0.00013633988,0.00017261079,0.00010847335,0.009331372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990723,0.0001604615,0.000037871854,0.00013478543,0.00036082632,0.0002336875],"domain_scores_gemma":[0.99849975,0.0002772814,0.00010277735,0.00080662285,0.00021189582,0.00010171722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068372616,0.00027765665,0.00061063305,0.00078702107,0.0016206554,0.0020295754,0.0011731308,0.0009957578,0.010690933],"category_scores_gemma":[0.0018543635,0.00019259425,0.00054200925,0.0011261168,0.0018470293,0.0051288796,0.0029578255,0.0008459565,0.0018263629],"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":[0.0013455764,0.00032470273,0.0026747913,0.00031246987,0.00011625479,0.0008926444,0.00079811487,0.04475818,0.0713674,0.69529104,0.02107698,0.16104175],"study_design_scores_gemma":[0.00019885186,0.00040888714,0.0011187444,0.0001121031,0.00006927508,0.00093088025,0.00049686775,0.48409894,0.10072384,0.34390077,0.06779637,0.00014442904],"about_ca_topic_score_codex":0.0015929472,"about_ca_topic_score_gemma":0.0011520715,"teacher_disagreement_score":0.010690933,"about_ca_system_score_codex":0.0012094168,"about_ca_system_score_gemma":0.0012466831,"threshold_uncertainty_score":0.035764694},"labels":[],"label_agreement":null},{"id":"W4406239156","doi":"10.1007/978-3-030-71522-9_97","title":"PKI Trust Models","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Cloud Data Security Solutions","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":"University of Ottawa","funders":"","keywords":"Public key infrastructure; Computer science; Computer security; Public-key cryptography","score_opus":0.03290146017000526,"score_gpt":0.24438023081560278,"score_spread":0.21147877064559753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406239156","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029336505,0.0033013467,0.46889073,0.006564877,0.0011597795,0.00024728398,0.00085107464,0.0020812112,0.5139701],"genre_scores_gemma":[0.2527589,0.012339609,0.16404097,0.0018110169,0.00111184,0.00065063435,0.0025794725,0.001152808,0.5635548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99810046,0.00046199732,0.0001219623,0.00027576415,0.0008657413,0.00017410812],"domain_scores_gemma":[0.99731606,0.00079272216,0.0001797627,0.0010454832,0.00053246843,0.0001334505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018707375,0.001191242,0.00065509696,0.0009885493,0.0014964304,0.006252742,0.0017221278,0.0016663063,0.030459272],"category_scores_gemma":[0.007432273,0.0008401653,0.0008052364,0.0019940985,0.0018214908,0.011749743,0.0023393086,0.00545345,0.020582508],"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":[0.000034117216,0.000033895198,0.000088576744,0.00011650902,0.000008255847,0.000055608234,0.00021990735,0.004786818,0.00032026254,0.8925786,0.0401641,0.06159336],"study_design_scores_gemma":[0.000014461212,0.000027404112,0.00007241136,0.00014063466,0.000016932914,0.00026032902,0.00013844098,0.030446513,0.0012042682,0.6944396,0.27321225,0.000026764066],"about_ca_topic_score_codex":0.0023332504,"about_ca_topic_score_gemma":0.0016130682,"teacher_disagreement_score":0.030459272,"about_ca_system_score_codex":0.0033749924,"about_ca_system_score_gemma":0.0021683439,"threshold_uncertainty_score":0.101896465},"labels":[],"label_agreement":null},{"id":"W4407467780","doi":"10.1109/iccvit63928.2024.10872451","title":"Knowledge Graph to Facilitate Cloud Security Compliance with NIST Cybersecurity Framework","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"New York Institute of Technology","funders":"","keywords":"NIST; Cloud computing; Computer security; Computer science; Compliance (psychology); Cloud computing security; Operating system","score_opus":0.060189471114298836,"score_gpt":0.30254890291639697,"score_spread":0.24235943180209812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407467780","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":[0.016752932,0.00007027425,0.9689417,0.0008112314,0.00004383568,0.00046757792,0.0003652566,0.002998149,0.009549093],"genre_scores_gemma":[0.2126234,0.0002399799,0.7814329,0.0002855199,0.0000150437545,0.00030186493,0.00173312,0.00028764087,0.0030805143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958662,0.001287656,0.00040069115,0.000733444,0.001399667,0.00031240782],"domain_scores_gemma":[0.9944079,0.0021686072,0.000483325,0.0016957981,0.0010386384,0.00020571954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029714322,0.000595501,0.00044101028,0.0038620464,0.0011811998,0.002889456,0.0016862971,0.001305963,0.0024972244],"category_scores_gemma":[0.010560634,0.0003824939,0.0011831502,0.0024467537,0.0015933644,0.005336557,0.0042345985,0.001932408,0.00061097066],"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":[0.00016245134,0.0008325448,0.006093762,0.00064233533,0.0001327724,0.001665054,0.002706198,0.077501014,0.018227398,0.49603778,0.0081810085,0.38781774],"study_design_scores_gemma":[0.00005867377,0.000188699,0.003061935,0.00052476465,0.00024890082,0.0010773886,0.0016890006,0.50616974,0.04240003,0.33601463,0.108437434,0.00012886785],"about_ca_topic_score_codex":0.013279254,"about_ca_topic_score_gemma":0.0205267,"teacher_disagreement_score":0.013279254,"about_ca_system_score_codex":0.0018079266,"about_ca_system_score_gemma":0.005809799,"threshold_uncertainty_score":0.026403904},"labels":[],"label_agreement":null},{"id":"W4407578703","doi":"10.1007/978-981-96-1542-1_7","title":"DataJudge: Cross-Chain Data Consistency Verification Based on Extended Merkle Hash Tree","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","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":"Queen's University","funders":"","keywords":"Merkle tree; Computer science; Hash function; Consistency (knowledge bases); Data consistency; Hash chain; Hash tree; Theoretical computer science; Algorithm; Distributed computing; Programming language; Artificial intelligence","score_opus":0.04133398439985462,"score_gpt":0.30491059694539646,"score_spread":0.2635766125455418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407578703","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":[0.052012324,0.001078655,0.9244586,0.00038462903,0.00042588316,0.0003993232,0.0005204887,0.01743726,0.0032828453],"genre_scores_gemma":[0.6712221,0.00027567983,0.31944972,0.0003199632,0.00014533293,0.00019229042,0.0014609145,0.0007801262,0.00615391],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955994,0.00060904,0.0004303489,0.00088241004,0.0019946387,0.00048422313],"domain_scores_gemma":[0.99271095,0.0013355855,0.0004353372,0.0039639324,0.0013618146,0.00019233026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028176957,0.00069798616,0.0016006861,0.0014870528,0.0013658571,0.002474069,0.0023057284,0.0012334654,0.0051327767],"category_scores_gemma":[0.0074925963,0.0006748102,0.0008252556,0.0014160622,0.0010585105,0.0074628117,0.0066620894,0.0016723282,0.0018883824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027020287,0.00039094593,0.006895797,0.00075263466,0.00032560655,0.0010010124,0.00078794116,0.023406751,0.0936498,0.047203325,0.023240624,0.7996436],"study_design_scores_gemma":[0.00038515514,0.0009659064,0.0031981987,0.00016754543,0.00025908067,0.002187087,0.00040126068,0.6621747,0.21709949,0.08447939,0.02841077,0.00027141505],"about_ca_topic_score_codex":0.001024899,"about_ca_topic_score_gemma":0.0011323208,"teacher_disagreement_score":0.0051327767,"about_ca_system_score_codex":0.0008457869,"about_ca_system_score_gemma":0.0021156368,"threshold_uncertainty_score":0.017170787},"labels":[],"label_agreement":null},{"id":"W4407938060","doi":"10.5220/0013252200003899","title":"Design of an Intelligent Trust Management Architecture for 5G Service Deployment","year":2025,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Ericsson (Canada)","funders":"","keywords":"Software deployment; Computer science; Architecture; Service (business); Computer network; Service-oriented architecture; Process management; Business; Software engineering; World Wide Web; Web service","score_opus":0.03061916010604808,"score_gpt":0.2855478838591339,"score_spread":0.2549287237530858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407938060","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":[0.036137447,0.00023833149,0.9527376,0.00066103355,0.000107515225,0.00039622505,0.00006010508,0.0029799463,0.0066818334],"genre_scores_gemma":[0.71695757,0.00024673174,0.27666235,0.0002211997,0.00003936786,0.00023681053,0.00018178948,0.00015243702,0.0053017405],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991623,0.00016307492,0.00007597427,0.00016006189,0.00025729623,0.00018124125],"domain_scores_gemma":[0.9991943,0.00009674053,0.00008510351,0.00012738672,0.0003884841,0.00010804833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009320306,0.00045650013,0.00045795154,0.0005641836,0.00090838235,0.0022210176,0.0016280698,0.000860207,0.0021232814],"category_scores_gemma":[0.001522755,0.00050959276,0.00045909165,0.00038627014,0.0004582572,0.0018631207,0.0012540007,0.0010952464,0.00072765816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088245195,0.00062235683,0.01089757,0.0005528751,0.00040552602,0.0014067694,0.0013572137,0.33129776,0.15803435,0.1244352,0.018116057,0.35199186],"study_design_scores_gemma":[0.000025743373,0.00012841426,0.00062344765,0.000026508475,0.00007562206,0.00014446874,0.00012903371,0.9677683,0.01680096,0.0051205796,0.009129596,0.000027323353],"about_ca_topic_score_codex":0.0062805386,"about_ca_topic_score_gemma":0.008651728,"teacher_disagreement_score":0.0062805386,"about_ca_system_score_codex":0.0015769257,"about_ca_system_score_gemma":0.0021870378,"threshold_uncertainty_score":0.012487948},"labels":[],"label_agreement":null},{"id":"W4408324880","doi":"10.1109/globecom52923.2024.10901101","title":"Accelerating Secure and Verifiable Data Deletion in Cloud Storage via SGX and Blockchain","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Queen's University","funders":"","keywords":"Blockchain; Verifiable secret sharing; Computer science; Cloud computing; Computer security; Cloud storage; Operating system; Programming language","score_opus":0.03512418410443872,"score_gpt":0.2730024687305869,"score_spread":0.2378782846261482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408324880","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":[0.15794271,0.0005441025,0.8272974,0.0009840493,0.0001346691,0.00056645926,0.0002840105,0.0044907024,0.0077558416],"genre_scores_gemma":[0.9235008,0.00020996948,0.071717784,0.000113984584,0.000025131001,0.00015914335,0.00020621781,0.00008453386,0.003982458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99472743,0.0012976641,0.00032755933,0.0006264904,0.0020733213,0.00094768615],"domain_scores_gemma":[0.98750967,0.004184119,0.0011282644,0.005188428,0.0015469729,0.00044262738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049103214,0.00056155556,0.00080988166,0.000712591,0.0015538676,0.002087719,0.0018009294,0.0010240679,0.0040830215],"category_scores_gemma":[0.009668636,0.00055735046,0.00053420407,0.000860637,0.0023543404,0.0057087974,0.005599417,0.001996958,0.0012814361],"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":[0.0023332983,0.00054535,0.007973175,0.0005405485,0.00009209858,0.0011327915,0.0011324177,0.30221662,0.07196083,0.27124006,0.008231515,0.3326013],"study_design_scores_gemma":[0.0002592613,0.00044586783,0.0005573708,0.00006398699,0.00003121661,0.0003516051,0.0001777191,0.86412907,0.051256362,0.07346621,0.009199596,0.00006183984],"about_ca_topic_score_codex":0.0034179515,"about_ca_topic_score_gemma":0.0039609624,"teacher_disagreement_score":0.0049103214,"about_ca_system_score_codex":0.0015174724,"about_ca_system_score_gemma":0.0057584415,"threshold_uncertainty_score":0.025968552},"labels":[],"label_agreement":null},{"id":"W4408378518","doi":"10.5267/j.ijiec.2025.2.004","title":"Optimization decision of supply chain data governance involving data governance service providers","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Business; Supply chain; Service provider; Data governance; Process management; Service (business); Operations management; Operations research; Data quality; Marketing; Engineering; Finance","score_opus":0.04415668828715067,"score_gpt":0.2914755235143603,"score_spread":0.24731883522720963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408378518","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":[0.3592832,0.00039465615,0.61849177,0.0018846963,0.00007183077,0.0004801804,0.00030035383,0.00014851225,0.018944778],"genre_scores_gemma":[0.9744726,0.00017176077,0.023102207,0.00004016112,0.000008788679,0.00007438025,0.000059693524,0.000013254422,0.002057032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983492,0.0007250538,0.000059116155,0.00027526473,0.00016766878,0.0004236439],"domain_scores_gemma":[0.99807775,0.000943413,0.00028660995,0.00012823613,0.00034607612,0.00021790207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028564783,0.000625971,0.000721318,0.000785481,0.0010097721,0.0030652145,0.00074711826,0.0013290371,0.0040070587],"category_scores_gemma":[0.005287726,0.00065257016,0.0007617456,0.0010943719,0.001075406,0.0036529289,0.0015103589,0.001643508,0.0002752374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016329884,0.00010164725,0.0040956815,0.00007678982,0.00004404902,0.00017673257,0.00014126988,0.91124547,0.0015968026,0.063307755,0.00083787605,0.018212654],"study_design_scores_gemma":[0.000022240629,0.000071855684,0.00052723655,0.00001686338,0.0000176119,0.000021154445,0.0001938713,0.976334,0.0009491463,0.020947631,0.00088252703,0.000015828919],"about_ca_topic_score_codex":0.009684429,"about_ca_topic_score_gemma":0.0060271802,"teacher_disagreement_score":0.009684429,"about_ca_system_score_codex":0.0038239933,"about_ca_system_score_gemma":0.0038224221,"threshold_uncertainty_score":0.027745187},"labels":[],"label_agreement":null},{"id":"W4408491219","doi":"10.61091/jcmcc124-12","title":"Application of blockchain technology for data integrity and privacy protection in distributed networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Privacy protection; Data integrity; Computer science; Computer security; Information privacy; Data Protection Act 1998; Internet privacy","score_opus":0.02185062180843749,"score_gpt":0.2867930076755561,"score_spread":0.2649423858671186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408491219","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":[0.071713485,0.0015870619,0.91563237,0.001135058,0.00013351878,0.00016623829,0.00011260718,0.00055495906,0.008964639],"genre_scores_gemma":[0.92651176,0.0016337931,0.06776251,0.00012706204,0.00006091343,0.00012396771,0.0001376549,0.00002518672,0.0036170399],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853194,0.00043929994,0.00008978515,0.0001863179,0.00060428574,0.00014836818],"domain_scores_gemma":[0.9986154,0.00043887683,0.00014928302,0.0004807563,0.00023976949,0.00007591023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011119117,0.00027385898,0.00042457652,0.0005986186,0.0011301263,0.0011514254,0.0007167253,0.0006782467,0.0015410555],"category_scores_gemma":[0.0022162336,0.00021181587,0.00037127783,0.0012240286,0.0008431688,0.0026807282,0.0014744708,0.0008602242,0.000282129],"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":[0.00036722785,0.00014208021,0.0038922613,0.00044617034,0.00009203207,0.00079271785,0.0005622912,0.25262764,0.059567414,0.36495557,0.0047624693,0.3117921],"study_design_scores_gemma":[0.00007429405,0.0001769739,0.0005264608,0.000051002127,0.00004016756,0.00045734784,0.000092095754,0.786965,0.038030248,0.15161942,0.02192323,0.000043752596],"about_ca_topic_score_codex":0.0018475078,"about_ca_topic_score_gemma":0.0011319875,"teacher_disagreement_score":0.0018475078,"about_ca_system_score_codex":0.0009566716,"about_ca_system_score_gemma":0.0019396527,"threshold_uncertainty_score":0.0069411397},"labels":[],"label_agreement":null},{"id":"W4408912267","doi":"10.18280/ijsse.150203","title":"Decentralized and Secure Access Control Model for Multi-Cloud Data Storage","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Computer security; Access control; Cloud storage; Distributed computing; Operating system","score_opus":0.03387080339939958,"score_gpt":0.3186439048246038,"score_spread":0.28477310142520423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408912267","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":[0.064117,0.0002994769,0.9267354,0.00087373663,0.000117671196,0.00016842879,0.00026753466,0.00054827216,0.006872432],"genre_scores_gemma":[0.96662503,0.00016099424,0.026685944,0.00007199538,0.0000662614,0.00012996372,0.000102882055,0.000034158806,0.0061227507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99687934,0.0005704162,0.00017842175,0.00082703517,0.00097424356,0.0005706072],"domain_scores_gemma":[0.99740183,0.00081925065,0.00032159846,0.00045569864,0.000787789,0.0002138158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021789758,0.0005945584,0.001369763,0.0007610353,0.0013504178,0.0034551374,0.0025767635,0.0014264332,0.004104482],"category_scores_gemma":[0.0031982453,0.00043684087,0.0010192532,0.0009448274,0.0016065203,0.003958839,0.0018583772,0.0015756801,0.0005236362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005050272,0.00020280636,0.0010556775,0.00014445302,0.00009253673,0.00047671454,0.0003191015,0.6557609,0.009616142,0.3066686,0.0030728704,0.022085134],"study_design_scores_gemma":[0.000020906837,0.000035019606,0.00009716932,0.0000043062964,0.000014300964,0.000043514578,0.000019042302,0.9729499,0.00055113836,0.025778225,0.00047445897,0.00001193552],"about_ca_topic_score_codex":0.007129079,"about_ca_topic_score_gemma":0.00571343,"teacher_disagreement_score":0.007129079,"about_ca_system_score_codex":0.00254118,"about_ca_system_score_gemma":0.0033048356,"threshold_uncertainty_score":0.018437684},"labels":[],"label_agreement":null},{"id":"W4409603849","doi":"10.61091/jcmcc127b-161","title":"Research on Consistency Assurance Mechanism of Distributed Database Based on Blockchain Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Consistency (knowledge bases); Database; Distributed database; Data consistency; Computer science; Mechanism (biology); Computer security; Artificial intelligence","score_opus":0.026905593144323964,"score_gpt":0.31313033627667775,"score_spread":0.2862247431323538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603849","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":[0.08414569,0.003833611,0.90328616,0.00091025984,0.00018895364,0.00016436096,0.000089308,0.0009055177,0.006476204],"genre_scores_gemma":[0.92202383,0.0028627266,0.071010046,0.00011968786,0.0001453463,0.00011340738,0.00016224358,0.0000416676,0.0035210627],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815196,0.00035181816,0.00014224503,0.00035413718,0.0008309551,0.00016898056],"domain_scores_gemma":[0.9976846,0.00065552944,0.00028065042,0.00045209768,0.000836806,0.00009031121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002020843,0.00031792984,0.00060289144,0.0010219237,0.0008344992,0.0015651992,0.001388973,0.00074245833,0.0015675961],"category_scores_gemma":[0.0050677243,0.00027006533,0.0004341396,0.0014478803,0.0006648001,0.004198891,0.00091272674,0.00079563324,0.00023958129],"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":[0.00063188584,0.00018256507,0.0086118765,0.0009014099,0.00021429808,0.00052417506,0.0009550932,0.17017256,0.0411032,0.2745768,0.005239252,0.4968869],"study_design_scores_gemma":[0.00021408834,0.00042366178,0.0018369268,0.00009728816,0.00014421805,0.0008363653,0.00021704374,0.87316746,0.03260225,0.07005043,0.020331604,0.00007865857],"about_ca_topic_score_codex":0.0027021952,"about_ca_topic_score_gemma":0.00084631494,"teacher_disagreement_score":0.0027021952,"about_ca_system_score_codex":0.0011636667,"about_ca_system_score_gemma":0.0018919468,"threshold_uncertainty_score":0.010687351},"labels":[],"label_agreement":null},{"id":"W4409795025","doi":"10.61091/jcmcc127b-500","title":"Cloud Data Integrity Verification Algorithm for Smart Accounting Informatization in Cloud Computing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Informatization; Cloud computing; Computer science; Data integrity; Algorithm; Database; Operating system; World Wide Web","score_opus":0.025770408179907226,"score_gpt":0.29371328981628275,"score_spread":0.26794288163637553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795025","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":[0.04627318,0.00026220363,0.94753104,0.00044993722,0.00007978477,0.00022959187,0.00011589612,0.001361823,0.0036964563],"genre_scores_gemma":[0.72567093,0.0002504093,0.26978984,0.00017729148,0.00005306792,0.00017159116,0.00045659082,0.00011600577,0.0033142082],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981469,0.00031639493,0.0001385882,0.00034610144,0.0007924041,0.00025952398],"domain_scores_gemma":[0.99840564,0.00033583195,0.00019163397,0.00033836844,0.000656189,0.00007244723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010056846,0.00046228882,0.0007900421,0.0009239233,0.001603112,0.0018112365,0.0011187211,0.00069668633,0.0029030377],"category_scores_gemma":[0.005115304,0.00028815473,0.00060772744,0.0012075607,0.00064783497,0.0031477339,0.0016282232,0.0010579298,0.0006286615],"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":[0.0012400829,0.00022003603,0.0071647298,0.00026680433,0.000091569,0.00038208588,0.0004543202,0.22906831,0.043201912,0.062590815,0.008774041,0.6465453],"study_design_scores_gemma":[0.00007420583,0.00009534089,0.00081819424,0.000017932447,0.000027326487,0.00027268706,0.000096547294,0.9589076,0.02331436,0.0131651135,0.0031806359,0.000030117359],"about_ca_topic_score_codex":0.005253394,"about_ca_topic_score_gemma":0.0032443192,"teacher_disagreement_score":0.005253394,"about_ca_system_score_codex":0.0015853975,"about_ca_system_score_gemma":0.0047573172,"threshold_uncertainty_score":0.011502922},"labels":[],"label_agreement":null},{"id":"W4409795124","doi":"10.61091/jcmcc127b-447","title":"Research on Data Security Protection Strategies in Cloud Computing Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer security; Cloud computing security; Computer science; Data security; Data Protection Act 1998; Encryption; Operating system","score_opus":0.05686479597917464,"score_gpt":0.3372799303488471,"score_spread":0.28041513436967247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795124","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":[0.06597601,0.034267694,0.84457237,0.0062644696,0.00051049615,0.00038324276,0.00012246043,0.00037866877,0.04752458],"genre_scores_gemma":[0.89976007,0.01949759,0.07328921,0.0005155558,0.00030977113,0.00012916644,0.00011355238,0.000052202144,0.0063327937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968972,0.0006652381,0.00018649691,0.0005362873,0.0011443294,0.00057046453],"domain_scores_gemma":[0.9970003,0.0010342309,0.0002766665,0.0006453488,0.00087381585,0.00016958313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023707873,0.00072524516,0.0007575077,0.0018676086,0.002059841,0.0038448994,0.0015186382,0.0014466178,0.002283128],"category_scores_gemma":[0.004791398,0.000381136,0.0009032428,0.0029562227,0.0018444625,0.009497149,0.0017258215,0.0017674665,0.00046707017],"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":[0.00018143177,0.0001510349,0.0025798173,0.00077132916,0.00011211154,0.00037765873,0.00075260206,0.03831731,0.01377618,0.6903154,0.0050824145,0.24758273],"study_design_scores_gemma":[0.00006597872,0.00033470528,0.0017136126,0.0005096674,0.00016230013,0.0015802609,0.0012407936,0.50441444,0.033438146,0.38070965,0.07570633,0.00012404314],"about_ca_topic_score_codex":0.0032204508,"about_ca_topic_score_gemma":0.00130965,"teacher_disagreement_score":0.0038448994,"about_ca_system_score_codex":0.0032165772,"about_ca_system_score_gemma":0.0033602156,"threshold_uncertainty_score":0.02333802},"labels":[],"label_agreement":null},{"id":"W4409981966","doi":"10.31399/asm.cp.itsc2025p0310","title":"AccurasprayHub: Leveraging AI and Machine Learning to Define and Optimize Process Windows in Thermal Spray Operations","year":2025,"lang":"en","type":"article","venue":"Thermal spray","topic":"Cloud Data Security Solutions","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":"Marinvent (Canada)","funders":"","keywords":"Computer science; Process (computing); Artificial intelligence; Operating system","score_opus":0.018032879212514594,"score_gpt":0.2754031378648307,"score_spread":0.2573702586523161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409981966","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":[0.28674334,0.0014549223,0.4801464,0.0008684403,0.00024475166,0.0006963841,0.009199805,0.21022274,0.010423306],"genre_scores_gemma":[0.70282614,0.00024330341,0.2793748,0.00029477768,0.000054934342,0.00023164532,0.010773947,0.00422194,0.001978525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988147,0.00020311907,0.00006105678,0.0004581062,0.00037787404,0.00008510801],"domain_scores_gemma":[0.9979779,0.00068392354,0.00022663959,0.0006715971,0.00029601605,0.00014394114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017808371,0.0013028062,0.00086400827,0.0011839472,0.00048104613,0.0015958127,0.0016060821,0.0006202973,0.0022994033],"category_scores_gemma":[0.004250611,0.00045028704,0.00072384387,0.0007469228,0.0007495785,0.0017206873,0.0015036623,0.001497908,0.0008857943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018317453,0.0011478002,0.018924749,0.00061208504,0.00041517164,0.00024368026,0.000425492,0.5625947,0.05096642,0.0061401357,0.041246843,0.3154512],"study_design_scores_gemma":[0.00007577517,0.00017798414,0.0025145994,0.000015567692,0.000017936478,0.000023056407,0.00003752896,0.9721991,0.016498152,0.0031135846,0.0052889585,0.00003784481],"about_ca_topic_score_codex":0.009015899,"about_ca_topic_score_gemma":0.012045276,"teacher_disagreement_score":0.009015899,"about_ca_system_score_codex":0.0009508092,"about_ca_system_score_gemma":0.0018781618,"threshold_uncertainty_score":0.017926812},"labels":[],"label_agreement":null},{"id":"W4410042626","doi":"10.1007/978-3-031-88304-0_77","title":"A Multi-layered Protection System for Enhancing Data Security in Cloud Computing Environments","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hog Administrative Marketing Services (Canada)","funders":"","keywords":"Cloud computing; Computer security; Computer science; Cloud computing security; Data security; Operating system; Encryption","score_opus":0.03509461682703192,"score_gpt":0.2583636716020057,"score_spread":0.22326905477497377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410042626","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03378349,0.00079469196,0.94634145,0.0003435278,0.00022028372,0.00017787679,0.00008685607,0.011580792,0.0066711083],"genre_scores_gemma":[0.528975,0.00084604265,0.45058873,0.00050304347,0.00013168137,0.00015134737,0.00033235573,0.00069932453,0.017772537],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943906,0.00009075796,0.00004695242,0.000076200326,0.00024268478,0.00010438749],"domain_scores_gemma":[0.9992835,0.00010494564,0.000066225955,0.00023479071,0.00021284139,0.00009764021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087507785,0.00046919982,0.00044477367,0.0006591392,0.0007351009,0.0019058181,0.001522199,0.00083804806,0.0037576729],"category_scores_gemma":[0.0010258518,0.00035673607,0.0005256051,0.00039576474,0.0004226686,0.0020483385,0.0019375511,0.0014389888,0.0012580701],"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":[0.0009799153,0.00042140283,0.0027448353,0.00038499766,0.00019799033,0.0007740019,0.0007073334,0.033379063,0.3235669,0.03871245,0.023186853,0.5749443],"study_design_scores_gemma":[0.00010230584,0.00049009005,0.0022653085,0.00013903288,0.0002392582,0.0011656678,0.00014375549,0.69394016,0.21465723,0.01681532,0.06988602,0.00015594275],"about_ca_topic_score_codex":0.0014917111,"about_ca_topic_score_gemma":0.0014608407,"teacher_disagreement_score":0.0037576729,"about_ca_system_score_codex":0.00064432825,"about_ca_system_score_gemma":0.0009031697,"threshold_uncertainty_score":0.012570739},"labels":[],"label_agreement":null},{"id":"W4410048702","doi":"10.48175/ijarsct-18000a","title":"Securing .Net Microservices Through Conditional Access and Zero Trust Principles using Azure AD and OAUTH2","year":2023,"lang":"en","type":"article","venue":"International Journal of Advanced Research in Science Communication and Technology","topic":"Cloud Data Security Solutions","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":"ASTER","funders":"","keywords":"Microservices; Zero (linguistics); Net (polyhedron); Computer science; Zero-knowledge proof; Code (set theory); Programming language; Computer security; Mathematics; Operating system; Cloud computing; Cryptography; Philosophy","score_opus":0.1545967638400706,"score_gpt":0.4757514875399157,"score_spread":0.3211547236998451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410048702","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":[0.080307394,0.00037090777,0.8935316,0.00095735164,0.00013274669,0.00041687867,0.00006196812,0.011617307,0.01260371],"genre_scores_gemma":[0.80173934,0.00031822792,0.18411,0.00044941402,0.00008980492,0.00025347807,0.00015893811,0.0004902549,0.012390491],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99661,0.0006123167,0.00041345254,0.00059099286,0.001287942,0.00048526342],"domain_scores_gemma":[0.9942556,0.00070478296,0.0009176844,0.0028325631,0.0008601716,0.0004292167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039820336,0.0006189216,0.00044901035,0.0010942651,0.0017487479,0.00520411,0.002125754,0.0010913179,0.0015283537],"category_scores_gemma":[0.0060719424,0.00059005857,0.0007455901,0.0003929381,0.0032216283,0.006513236,0.0057913503,0.00291285,0.0008040687],"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":[0.00086841546,0.00046174668,0.01662841,0.00041980372,0.00020560999,0.0012501391,0.0043373243,0.03206329,0.06763707,0.5877364,0.00951076,0.2788811],"study_design_scores_gemma":[0.00014664755,0.0008331334,0.0073524634,0.00046353918,0.00032798602,0.0017839299,0.0010281052,0.46424472,0.16019477,0.2193485,0.14382851,0.00044767227],"about_ca_topic_score_codex":0.0042959396,"about_ca_topic_score_gemma":0.003908074,"teacher_disagreement_score":0.00520411,"about_ca_system_score_codex":0.0017127017,"about_ca_system_score_gemma":0.0030319788,"threshold_uncertainty_score":0.021059275},"labels":[],"label_agreement":null},{"id":"W4410742598","doi":"10.1007/978-3-031-91524-6_6","title":"AI for Cloud Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Computer security; Operating system","score_opus":0.02234341962687558,"score_gpt":0.3024621383690097,"score_spread":0.2801187187421341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742598","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038124458,0.029200459,0.012818847,0.00470236,0.0025435353,0.00002757626,0.00006921368,0.00020248616,0.9500543],"genre_scores_gemma":[0.015331659,0.02629482,0.00829277,0.0024592502,0.0021130063,0.00005216779,0.0001603686,0.00022577454,0.94507027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996786,0.00005306741,0.000007855839,0.00004905556,0.00017703837,0.000034378107],"domain_scores_gemma":[0.99971265,0.00012339845,0.00001302005,0.000045494784,0.00007209722,0.000033378026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029856927,0.0008816062,0.00039393763,0.0013699555,0.0013196988,0.003738477,0.0006924094,0.001228917,0.059354685],"category_scores_gemma":[0.000900493,0.00028666487,0.0003577174,0.0016675815,0.0015846987,0.004313807,0.0013099831,0.0036309096,0.022876812],"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":[0.000008541094,0.000025211539,0.00003955347,0.0001435106,0.00000500916,0.000026127746,0.00016200721,0.0007224915,0.0003894673,0.56674606,0.31542933,0.11630268],"study_design_scores_gemma":[0.0000016881871,0.000004085594,0.000059107133,0.00010687345,0.0000018837972,0.00005924501,0.00005292653,0.0010988124,0.00014201854,0.12012039,0.8783487,0.0000043592863],"about_ca_topic_score_codex":0.0035980584,"about_ca_topic_score_gemma":0.0051600444,"teacher_disagreement_score":0.059354685,"about_ca_system_score_codex":0.002708365,"about_ca_system_score_gemma":0.0013001207,"threshold_uncertainty_score":0.19856125},"labels":[],"label_agreement":null},{"id":"W4411431248","doi":"10.18280/ijsse.150403","title":"Advances and Challenges in Cloud Data Storage Security: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Computer security; Risk analysis (engineering); Environmental science; Medicine; Operating system","score_opus":0.04522668221950662,"score_gpt":0.31573764106411967,"score_spread":0.27051095884461307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411431248","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003587576,0.9983198,0.00016906185,0.00050024997,0.000082219834,0.000072162635,0.00019299223,0.0000054245897,0.000299321],"genre_scores_gemma":[0.0025888253,0.9963875,0.00036711257,0.00034629542,0.000047754602,0.00008445712,0.00011416339,0.0000026748346,0.00006125966],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.996382,0.0010007438,0.0013357186,0.0002963479,0.00083137205,0.00015373492],"domain_scores_gemma":[0.97663337,0.017409664,0.0029001485,0.00032840882,0.0024647533,0.00026362456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005816451,0.0011423957,0.003479252,0.010054946,0.0006381433,0.0025762892,0.0015566101,0.0015513808,0.004880584],"category_scores_gemma":[0.026000459,0.0007218922,0.005257824,0.010116569,0.0007848234,0.0029686803,0.0015656635,0.0013393908,0.0005501584],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014280874,0.000029549443,0.00089422846,0.81153613,0.0021206655,0.00022272431,0.00039643454,0.00025526775,0.00028572415,0.0012193314,0.00638641,0.17651059],"study_design_scores_gemma":[0.000058665948,0.00015843115,0.002739021,0.86923313,0.014537921,0.00075915805,0.0004878032,0.00012435144,0.00022350112,0.0011798455,0.110450186,0.000048034468],"about_ca_topic_score_codex":0.006221761,"about_ca_topic_score_gemma":0.02026302,"teacher_disagreement_score":0.010054946,"about_ca_system_score_codex":0.002249316,"about_ca_system_score_gemma":0.016838307,"threshold_uncertainty_score":0.030760646},"labels":[],"label_agreement":null},{"id":"W4411552270","doi":"10.1109/icse55347.2025.00166","title":"Formally Verified Cloud-Scale Authorization","year":2025,"lang":"en","type":"article","venue":"","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":"McGill University","funders":"","keywords":"Cloud computing; Computer science; Authorization; Scale (ratio); Database; Computer security; Operating system; Physics","score_opus":0.010367163242980933,"score_gpt":0.2548990373510523,"score_spread":0.24453187410807137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411552270","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":[0.06733299,0.0002226125,0.8968373,0.0017588086,0.0002869271,0.0004815924,0.0012764239,0.00841374,0.02338964],"genre_scores_gemma":[0.74776036,0.00022226915,0.2417381,0.0005613221,0.00011844522,0.00030670682,0.0011023838,0.0009775044,0.0072129266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99302787,0.0016100709,0.00057918346,0.0010048477,0.0029243224,0.0008536282],"domain_scores_gemma":[0.9814528,0.010075357,0.0010495173,0.0035557235,0.003478812,0.00038777853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048028235,0.00063953816,0.0006055465,0.0007880507,0.0012416891,0.004357207,0.0018859816,0.0013633637,0.005888885],"category_scores_gemma":[0.023382142,0.0007862786,0.0017000774,0.00047034802,0.004611872,0.0051207235,0.0034447107,0.0029206392,0.0012988806],"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":[0.0003359807,0.00028191088,0.005290318,0.0006532652,0.00008445269,0.0014256777,0.0014631617,0.20760843,0.026751775,0.7109922,0.0069255494,0.038187273],"study_design_scores_gemma":[0.0002646032,0.00013704204,0.00089241355,0.00019789554,0.00008985199,0.00035247018,0.0003112543,0.6399767,0.045086823,0.27985445,0.032746408,0.00009007197],"about_ca_topic_score_codex":0.013815231,"about_ca_topic_score_gemma":0.014019681,"teacher_disagreement_score":0.013815231,"about_ca_system_score_codex":0.0036413562,"about_ca_system_score_gemma":0.00653981,"threshold_uncertainty_score":0.027469635},"labels":[],"label_agreement":null},{"id":"W4412927669","doi":"10.18280/ijsse.150610","title":"A Hyperledger-Based Secure Framework for Academic Certificate Authentication Using Blockchain","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Certificate; Computer security; Authentication (law); Computer science; Theoretical computer science","score_opus":0.034195001444515316,"score_gpt":0.3074068865274774,"score_spread":0.27321188508296207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412927669","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":[0.03195112,0.00046786133,0.9368323,0.0004895732,0.00015499786,0.0008379069,0.0002903221,0.011276153,0.01769976],"genre_scores_gemma":[0.7899322,0.00080969144,0.18121862,0.0002304368,0.00011444911,0.000870197,0.0009413713,0.00066419935,0.025218897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982084,0.00043977285,0.00016158816,0.00020922991,0.00072147057,0.00025948405],"domain_scores_gemma":[0.9985537,0.00026706295,0.0001447417,0.0005526996,0.000326173,0.0001556474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018565137,0.0004335668,0.00041872764,0.0010356796,0.0011323235,0.0025937634,0.0014580542,0.001093333,0.009176049],"category_scores_gemma":[0.0029026691,0.00042758844,0.0005042607,0.00067093247,0.0012384387,0.0042794133,0.0031929838,0.0012254443,0.0028125448],"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":[0.0011504459,0.00036990654,0.0036444077,0.0006763381,0.00009282694,0.0020999375,0.0016013603,0.08999546,0.04231055,0.544482,0.013886376,0.29969043],"study_design_scores_gemma":[0.00023760904,0.0004317448,0.0012006266,0.0002047984,0.00007432588,0.00091847137,0.00025980815,0.7207843,0.046565507,0.097966805,0.13114403,0.00021203519],"about_ca_topic_score_codex":0.0042980835,"about_ca_topic_score_gemma":0.003900189,"teacher_disagreement_score":0.009176049,"about_ca_system_score_codex":0.0012273876,"about_ca_system_score_gemma":0.003121713,"threshold_uncertainty_score":0.030696929},"labels":[],"label_agreement":null},{"id":"W4413089165","doi":"10.23977/jeis.2025.100202","title":"Artificial Intelligence Data Security Evaluation in Big Data Cloud Computing Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Big data; Cloud computing security; Data science; Data mining; Operating system","score_opus":0.0797868957262335,"score_gpt":0.3369251417744779,"score_spread":0.2571382460482444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413089165","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":[0.933418,0.0016235327,0.045270346,0.0010511536,0.00020852318,0.00035792805,0.0004379715,0.0004640084,0.017168468],"genre_scores_gemma":[0.9882423,0.0003386045,0.01024415,0.000051193398,0.000016306858,0.000050028255,0.00029652254,0.000018162129,0.00074270647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966258,0.0008644934,0.0002490425,0.00030702914,0.0014391064,0.00051461806],"domain_scores_gemma":[0.9952177,0.0017116538,0.00044320076,0.00033378828,0.0018486186,0.00044502257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030522442,0.0008122648,0.0006432879,0.0017455843,0.0009658737,0.0018642871,0.0006810413,0.0006293023,0.0011901843],"category_scores_gemma":[0.005929841,0.00017278857,0.0006968849,0.0019276462,0.0006219948,0.0020746249,0.0007480772,0.0007008684,0.00015775349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029561028,0.0019654124,0.07982633,0.000978824,0.00041554423,0.0008742141,0.00042139852,0.65585643,0.021295995,0.019847874,0.01234004,0.20322183],"study_design_scores_gemma":[0.000052570733,0.00047153456,0.011753313,0.000028753879,0.00005832745,0.0000882207,0.00030224997,0.9762275,0.008076243,0.0015959927,0.0013218406,0.000023362563],"about_ca_topic_score_codex":0.008816074,"about_ca_topic_score_gemma":0.005922119,"teacher_disagreement_score":0.008816074,"about_ca_system_score_codex":0.0019057539,"about_ca_system_score_gemma":0.0018827583,"threshold_uncertainty_score":0.017529488},"labels":[],"label_agreement":null},{"id":"W4413246162","doi":"10.2139/ssrn.5363399","title":"Review on Cryptographic Techniques for Privacy-Preserving Data Sharing in Cloud","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cloud Data Security Solutions","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":"Wilfrid Laurier University","funders":"","keywords":"Cryptography; Cloud computing; Computer science; Computer security; Data sharing; Cryptographic primitive; Internet privacy; Cryptographic protocol; Operating system","score_opus":0.059331547937796075,"score_gpt":0.35042149203886963,"score_spread":0.2910899441010736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413246162","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005195751,0.9819197,0.010214701,0.0020067259,0.0010455828,0.000026124793,0.00005576883,0.000031761003,0.0041800546],"genre_scores_gemma":[0.007162757,0.982052,0.0059317895,0.0012653559,0.0015246464,0.000031721807,0.00013318547,0.000021894866,0.0018765457],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986187,0.00030864018,0.00017420483,0.00021683722,0.0005519228,0.00012972624],"domain_scores_gemma":[0.99579287,0.0026610764,0.00030034795,0.00038240262,0.00076733186,0.00009594672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018804399,0.000835974,0.0011189523,0.0019572852,0.00053111283,0.0018080928,0.001698192,0.0014269869,0.0053671156],"category_scores_gemma":[0.005375303,0.0005071819,0.00078151346,0.00409678,0.0011767487,0.0045916224,0.0011429018,0.0025522474,0.0026212777],"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":[0.00017055616,0.000073780524,0.00026184574,0.016550818,0.0001481655,0.00010615727,0.00007176243,0.0019842153,0.0031672823,0.05486442,0.042796407,0.8798046],"study_design_scores_gemma":[0.000029493189,0.0001899918,0.0005780969,0.0056952555,0.00017237573,0.00095897954,0.00008396509,0.0012872376,0.0032167104,0.025395248,0.9623508,0.00004189126],"about_ca_topic_score_codex":0.0006618703,"about_ca_topic_score_gemma":0.00059817714,"teacher_disagreement_score":0.0053671156,"about_ca_system_score_codex":0.001061928,"about_ca_system_score_gemma":0.0021558304,"threshold_uncertainty_score":0.017954826},"labels":[],"label_agreement":null},{"id":"W4413265917","doi":"10.2139/ssrn.5359434","title":"Cryptographic Technique for Securing Microservices in Cloud Environment: Hybrid Encryption and Key Management","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cloud Data Security Solutions","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":"Wilfrid Laurier University","funders":"","keywords":"Key management; Microservices; Computer science; Encryption; Cryptography; Key (lock); Computer security; Cloud computing; Operating system","score_opus":0.007082048155370444,"score_gpt":0.23320739907950083,"score_spread":0.22612535092413039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413265917","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":[0.104786575,0.003109518,0.88144034,0.0010841439,0.00035273546,0.00021508745,0.00013239963,0.00067093753,0.008208291],"genre_scores_gemma":[0.8614057,0.0011494885,0.12869668,0.00022725028,0.00021518375,0.00007642467,0.00015816679,0.000044851717,0.008026296],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991479,0.00015432332,0.000076498014,0.00012049102,0.0003687894,0.00013207956],"domain_scores_gemma":[0.9990589,0.00016431558,0.00016262273,0.00039200767,0.00018580265,0.000036481142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005947772,0.00037496127,0.00052754453,0.0006706192,0.00062852696,0.0010864022,0.00080608437,0.0007927789,0.0022666783],"category_scores_gemma":[0.0009527599,0.00020978547,0.0005227941,0.00083941076,0.0005355092,0.002415249,0.001235359,0.0011739514,0.001082207],"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":[0.0014826881,0.0003759126,0.0029316742,0.00077406573,0.000284829,0.00093566696,0.00043699212,0.013872942,0.46746275,0.1502169,0.006588321,0.35463718],"study_design_scores_gemma":[0.00022230076,0.001610432,0.0043046526,0.00017541922,0.00038229924,0.010939779,0.00052893674,0.27284306,0.61375797,0.06065345,0.034408927,0.0001727518],"about_ca_topic_score_codex":0.0001212644,"about_ca_topic_score_gemma":0.00019543231,"teacher_disagreement_score":0.0022666783,"about_ca_system_score_codex":0.00041728254,"about_ca_system_score_gemma":0.0006118576,"threshold_uncertainty_score":0.0075827837},"labels":[],"label_agreement":null},{"id":"W4414777313","doi":"10.3390/s25196118","title":"A Systematic Literature Review on the Implementation and Challenges of Zero Trust Architecture Across Domains","year":2025,"lang":"en","type":"review","venue":"Sensors","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":17,"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":"Università degli Studi di Genova","keywords":"Cloud computing; Big data; Orchestration; Scalability; Systematic review; Trusted Computing; Supply chain; Edge computing; The Internet","score_opus":0.037281968988600034,"score_gpt":0.351109114771635,"score_spread":0.31382714578303494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414777313","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009530591,0.99439657,0.0007568458,0.0015433484,0.00021835961,0.00010148507,0.00037349053,0.000016861932,0.0016399634],"genre_scores_gemma":[0.00907433,0.9875711,0.001367156,0.0011746439,0.00011435284,0.00016398355,0.0003175483,0.00001374886,0.00020310265],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99095577,0.0026819196,0.0030342708,0.000866883,0.002148359,0.0003127942],"domain_scores_gemma":[0.92614424,0.05789972,0.007823469,0.001254689,0.0062601026,0.0006177436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009768232,0.0010996374,0.0026807424,0.014910761,0.0009651019,0.003706684,0.0018197275,0.002121523,0.006303256],"category_scores_gemma":[0.052630294,0.00086212665,0.003664262,0.013046148,0.0015797301,0.004629973,0.0022131717,0.001839558,0.0009925053],"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":[0.0001417057,0.000044751952,0.0017676294,0.6309678,0.0013881553,0.0003430487,0.0014657398,0.0005019378,0.0005150852,0.0073389662,0.01331788,0.34220737],"study_design_scores_gemma":[0.000039697275,0.00012643277,0.0032567491,0.80284077,0.005449118,0.0006846321,0.0014880128,0.00012767353,0.0003988502,0.0034531478,0.18208402,0.0000509312],"about_ca_topic_score_codex":0.0068959873,"about_ca_topic_score_gemma":0.01800503,"teacher_disagreement_score":0.014910761,"about_ca_system_score_codex":0.0030637605,"about_ca_system_score_gemma":0.023018042,"threshold_uncertainty_score":0.05165994},"labels":[],"label_agreement":null},{"id":"W4415192046","doi":"10.51594/csitrj.v6i9.2066","title":"Cybersecurity on a budget: Affordable cloud security tools for SMBs","year":2025,"lang":"en","type":"article","venue":"Computer Science & IT Research Journal","topic":"Cloud Data Security Solutions","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":"Concordia University of Edmonton","funders":"","keywords":"Cloud computing security; Cloud computing; Guard (computer science); Security service; Security through obscurity; Security information and event management; Phishing; Identity management; Security controls; Security guard","score_opus":0.08142720153010234,"score_gpt":0.40161913411146505,"score_spread":0.3201919325813627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415192046","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23146513,0.004543041,0.21047977,0.07355959,0.0011374253,0.0009589454,0.00048045875,0.0038470123,0.47352856],"genre_scores_gemma":[0.8762222,0.0029899993,0.08816724,0.0027305663,0.00024499328,0.00020678919,0.00037660243,0.00041656956,0.028645104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840456,0.00030855194,0.000050862996,0.0001181109,0.0005609685,0.00055705005],"domain_scores_gemma":[0.99777395,0.00035446216,0.00024868656,0.00034832038,0.00045373142,0.00082076783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015882433,0.0005662104,0.00025731415,0.0012687612,0.00250176,0.0063001565,0.0015130521,0.0014509741,0.017991474],"category_scores_gemma":[0.004089252,0.00032559378,0.0004852125,0.0013526317,0.0011449107,0.0084194485,0.0053637465,0.002126616,0.0031359266],"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":[0.0004091369,0.0007405588,0.009323875,0.0005340089,0.000043795364,0.0016592848,0.0020717478,0.010938192,0.018489745,0.4141241,0.06786303,0.47380245],"study_design_scores_gemma":[0.00019025785,0.0007490405,0.01717234,0.0016392424,0.00007986824,0.0017103867,0.008817013,0.049968965,0.011794129,0.10101609,0.8066928,0.0001699223],"about_ca_topic_score_codex":0.006705143,"about_ca_topic_score_gemma":0.011538408,"teacher_disagreement_score":0.017991474,"about_ca_system_score_codex":0.003094416,"about_ca_system_score_gemma":0.004859432,"threshold_uncertainty_score":0.06018752},"labels":[],"label_agreement":null},{"id":"W4415273954","doi":"10.18280/isi.300811","title":"Efficient Privacy-Preserving mHealth Framework Using Crisscross AES and FCFS-NDPPP in Hybrid Cloud","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; mHealth; Key (lock); Mobile device; Mobile cloud computing","score_opus":0.02377252890019386,"score_gpt":0.29426966283051625,"score_spread":0.2704971339303224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415273954","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":[0.1401629,0.002353359,0.8411236,0.0009999524,0.0003602755,0.00031353516,0.0005824111,0.0059497044,0.008154303],"genre_scores_gemma":[0.92909735,0.00024123321,0.067407735,0.0001480546,0.00006633009,0.000055561522,0.00023429962,0.000060642986,0.002688787],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988636,0.00017925746,0.00007181265,0.00017085319,0.00040879333,0.00030570026],"domain_scores_gemma":[0.99937576,0.00013417067,0.00003915851,0.00029192877,0.000115199335,0.000043720232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066440995,0.00043662108,0.00088027783,0.00037683162,0.00097253284,0.0014617689,0.0011608447,0.00053037755,0.0026246519],"category_scores_gemma":[0.0012784225,0.00018701084,0.00040208158,0.0006070996,0.00049576437,0.0020802824,0.0019844265,0.0007242161,0.00048035628],"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":[0.0053923037,0.00071580335,0.006060741,0.00056700414,0.00034222798,0.00181536,0.00069247157,0.14968732,0.11706717,0.08066755,0.031657808,0.6053342],"study_design_scores_gemma":[0.00017427857,0.00033423735,0.0009292867,0.00002390235,0.000085420565,0.0007612813,0.00033699218,0.9238317,0.039308738,0.023986785,0.010172648,0.000054734737],"about_ca_topic_score_codex":0.0023834389,"about_ca_topic_score_gemma":0.0029326824,"teacher_disagreement_score":0.0026246519,"about_ca_system_score_codex":0.0005531386,"about_ca_system_score_gemma":0.0017120774,"threshold_uncertainty_score":0.00878036},"labels":[],"label_agreement":null},{"id":"W4415360253","doi":"10.59934/jaiea.v5i1.1587","title":"RSA Algorithm Measurement Levels in Ms.Word Security","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Cloud Data Security Solutions","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Encryption; Factoring; Cryptography; Word (group theory); Word processing; Prime (order theory); Public-key cryptography","score_opus":0.052021884827008556,"score_gpt":0.29188601558110766,"score_spread":0.2398641307540991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415360253","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":[0.6527041,0.004794887,0.2625732,0.0009971934,0.00048814437,0.0010282964,0.0010983279,0.00847165,0.067844205],"genre_scores_gemma":[0.89604485,0.0006789253,0.09277228,0.000097538934,0.000044276196,0.00030839967,0.00053196744,0.00030586083,0.009215855],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99238056,0.0017951428,0.00079891057,0.001051482,0.003437586,0.00053630956],"domain_scores_gemma":[0.99047065,0.0031395615,0.0015239314,0.0017077585,0.0029551282,0.00020286244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027692362,0.0008811115,0.00052343303,0.0018653566,0.0007932463,0.0026784968,0.00079771754,0.001101959,0.008327501],"category_scores_gemma":[0.01212989,0.00036055807,0.00039861928,0.0015268669,0.0007845362,0.0033255527,0.0007651297,0.00068827346,0.0054254686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004121029,0.0008037858,0.02777736,0.0013420349,0.000145036,0.00076632045,0.0018867084,0.032429874,0.38229543,0.06225809,0.0055195126,0.48065487],"study_design_scores_gemma":[0.00015352368,0.0046206512,0.018975358,0.00026723524,0.00020789907,0.0030974387,0.0008235477,0.13549913,0.7648239,0.018583372,0.052722327,0.00022556988],"about_ca_topic_score_codex":0.0005190085,"about_ca_topic_score_gemma":0.00030523803,"teacher_disagreement_score":0.008327501,"about_ca_system_score_codex":0.0014136395,"about_ca_system_score_gemma":0.0009898909,"threshold_uncertainty_score":0.027858317},"labels":[],"label_agreement":null},{"id":"W4415521496","doi":"10.63530/ijcsitr_2024_05_01_008","title":"HITRUST Certification Best Practices: Streamlining Compliance for Healthcare Cloud Solutions","year":2024,"lang":"","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Canadian MPS Society for Mucopolysaccharide and Related Diseases","funders":"","keywords":"Certification; Cloud computing; Compliance (psychology); Health care; Best practice","score_opus":0.3624366168649213,"score_gpt":0.4226587247885501,"score_spread":0.06022210792362881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415521496","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19457138,0.0061023743,0.62148315,0.069754586,0.0010630821,0.0038932236,0.00031521593,0.010179173,0.092637755],"genre_scores_gemma":[0.71859145,0.0021365734,0.26839963,0.003377175,0.0002037167,0.0006400118,0.0004673727,0.00059997366,0.0055840933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9274183,0.031593435,0.0059758187,0.00355187,0.027191361,0.0042692716],"domain_scores_gemma":[0.8785913,0.028992571,0.01835852,0.022611208,0.04632772,0.0051186564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059626345,0.0007362661,0.0005711717,0.005253374,0.0033760318,0.010954363,0.0030997116,0.002584647,0.0025003003],"category_scores_gemma":[0.11275329,0.00062180514,0.00070689415,0.003745118,0.0032867533,0.011564918,0.0071510277,0.0035656586,0.0012033914],"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":[0.00016269063,0.0008996888,0.028167868,0.0014205173,0.0001214222,0.0005848873,0.0066478443,0.017988406,0.008243814,0.08959354,0.028261397,0.817908],"study_design_scores_gemma":[0.0002917459,0.0038913186,0.06456575,0.010829167,0.00034474066,0.003500305,0.026325708,0.22898614,0.060573213,0.2311163,0.36861843,0.00095714454],"about_ca_topic_score_codex":0.006044284,"about_ca_topic_score_gemma":0.0073538865,"teacher_disagreement_score":0.059626345,"about_ca_system_score_codex":0.0074448516,"about_ca_system_score_gemma":0.022453934,"threshold_uncertainty_score":0.31533802},"labels":[],"label_agreement":null},{"id":"W4416258037","doi":"10.36948/ijfmr.2022.v04i04.61014","title":"Quantum Computing and Cloud Security: Future-Proofing Healthcare Data Protection","year":2022,"lang":"","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Cloud Data Security Solutions","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":"Canadian MPS Society for Mucopolysaccharide and Related Diseases","funders":"","keywords":"Cloud computing; Cryptography; Quantum key distribution; Cloud computing security; Scalability; Quantum cryptography; Quantum computer; Key (lock)","score_opus":0.21269720004754883,"score_gpt":0.47036565723417995,"score_spread":0.2576684571866311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416258037","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":[0.03902498,0.03853462,0.58816,0.19257645,0.002804152,0.00027537844,0.00017729074,0.00037163345,0.13807552],"genre_scores_gemma":[0.85766256,0.02851635,0.08683249,0.008911723,0.0022799545,0.00020310056,0.00008564804,0.00010619248,0.015401924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99653095,0.0014747538,0.00010343777,0.00030232276,0.0011621224,0.00042630927],"domain_scores_gemma":[0.99519795,0.0026501506,0.00031567083,0.00089040236,0.00067660667,0.00026919637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051863045,0.00043574726,0.00064419775,0.00084232725,0.002254494,0.0056062844,0.0012900045,0.004167196,0.0054733376],"category_scores_gemma":[0.008340439,0.0004200065,0.0009259621,0.0008184727,0.008516198,0.012315098,0.004506936,0.004375863,0.0007542709],"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":[0.000033285065,0.000019900946,0.00022686593,0.000090313086,0.000010331163,0.00008248918,0.000190931,0.0019419858,0.00071008364,0.97963953,0.0024467136,0.014607599],"study_design_scores_gemma":[0.000022894972,0.00008462069,0.0002899803,0.00025481227,0.000010141442,0.000268409,0.00037249888,0.017833905,0.0021147013,0.9251444,0.053566877,0.000036717487],"about_ca_topic_score_codex":0.001715222,"about_ca_topic_score_gemma":0.00095845846,"teacher_disagreement_score":0.0056062844,"about_ca_system_score_codex":0.0030605723,"about_ca_system_score_gemma":0.0036383506,"threshold_uncertainty_score":0.02742815},"labels":[],"label_agreement":null},{"id":"W4416919203","doi":"10.2139/ssrn.5735542","title":"Privacy-by-Design in the Cloud: Practical Patterns for PII, Least Privilege, and Immutable Audit Trails","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cloud Data Security Solutions","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":"General Dynamics (Canada)","funders":"","keywords":"Audit; Cloud computing; Audit trail; Data breach; Encryption; Product (mathematics); Outsourcing; Information privacy; Work (physics)","score_opus":0.028713980248691116,"score_gpt":0.3055744771192069,"score_spread":0.2768604968705158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416919203","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":[0.01440672,0.00016248944,0.9739977,0.0036481705,0.0001442724,0.00031042885,0.00023051233,0.0014141414,0.0056856466],"genre_scores_gemma":[0.4540362,0.00031800507,0.5367993,0.00092589745,0.00016150108,0.00049037574,0.00037251835,0.00084267225,0.006053522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9660019,0.014808517,0.0036514234,0.0042648483,0.007694428,0.0035789462],"domain_scores_gemma":[0.89249134,0.03138424,0.0041163173,0.06250331,0.0070349085,0.0024698866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028846936,0.0008278469,0.0017052031,0.001478316,0.004647613,0.010130699,0.004253692,0.00416718,0.0050302846],"category_scores_gemma":[0.086599134,0.0018349059,0.0027051766,0.0025768138,0.010546145,0.02642579,0.011358351,0.011589232,0.001780388],"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":[0.00033571382,0.00014122197,0.00233309,0.00015479818,0.000029993542,0.00012985458,0.0009371187,0.0071474197,0.0013461167,0.93380326,0.004850119,0.04879113],"study_design_scores_gemma":[0.00006021304,0.00007231596,0.00016972136,0.00007189457,0.000032751843,0.0002304201,0.00020755823,0.040821902,0.004225124,0.94437706,0.009689246,0.000041827054],"about_ca_topic_score_codex":0.00247869,"about_ca_topic_score_gemma":0.0030247576,"teacher_disagreement_score":0.028846936,"about_ca_system_score_codex":0.0036189284,"about_ca_system_score_gemma":0.007753354,"threshold_uncertainty_score":0.15255898},"labels":[],"label_agreement":null},{"id":"W4417313967","doi":"10.23977/jaip.2025.080403","title":"Cloud Computing Environment: Research on Big Data Security and Privacy Protection Strategies","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Cloud computing security; Big data; Information privacy; Data Protection Act 1998; Data security; Data sharing; Privacy by Design; Scalability; Key (lock)","score_opus":0.30011739149995365,"score_gpt":0.4401783506192044,"score_spread":0.14006095911925076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417313967","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":[0.07423069,0.11400998,0.5776538,0.0629075,0.0011514748,0.0005440745,0.00028769358,0.0003937778,0.16882099],"genre_scores_gemma":[0.8497158,0.055724397,0.084164135,0.0037054338,0.0011621803,0.00021157037,0.00018762749,0.000115918505,0.005012969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9910261,0.0038034061,0.00037271052,0.00090618856,0.0029359725,0.0009555627],"domain_scores_gemma":[0.9785826,0.012281749,0.0019284579,0.0036225724,0.0026510989,0.00093346677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010497989,0.0007812682,0.0008011898,0.0029664214,0.002539096,0.008234606,0.0019253633,0.0029254172,0.0018566948],"category_scores_gemma":[0.015107311,0.0005267938,0.0010744474,0.006359625,0.005711169,0.016610064,0.0034271637,0.0042643268,0.00041017096],"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":[0.000037487775,0.00007715296,0.0019987712,0.00034525414,0.000044703836,0.000090572896,0.00040105887,0.008704507,0.00064206356,0.92994875,0.0022655171,0.055444166],"study_design_scores_gemma":[0.000035269546,0.00016839724,0.0031558066,0.0011711167,0.00006713651,0.0007048852,0.002018423,0.0948948,0.006179423,0.78133863,0.11018116,0.000084998836],"about_ca_topic_score_codex":0.0037418404,"about_ca_topic_score_gemma":0.001720001,"teacher_disagreement_score":0.010497989,"about_ca_system_score_codex":0.006000125,"about_ca_system_score_gemma":0.0070177778,"threshold_uncertainty_score":0.055519342},"labels":[],"label_agreement":null},{"id":"W59764719","doi":"10.1007/978-3-642-21538-4_24","title":"Developing a Secure Distributed OSGi Cloud Computing Infrastructure for Sharing Health Records","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Scalability; Computer security; Single sign-on; World Wide Web; Database; Authentication (law); Operating system","score_opus":0.03589130477048965,"score_gpt":0.2851488729149171,"score_spread":0.24925756814442743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W59764719","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":[0.07852016,0.00024183083,0.8962321,0.00063522,0.00016892402,0.00096734264,0.000135186,0.013371206,0.009728074],"genre_scores_gemma":[0.37843165,0.0002755634,0.60988075,0.00020965056,0.000045009674,0.00022325137,0.0006925687,0.00068591227,0.009555589],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999408,0.00008522795,0.000040945888,0.000078796365,0.00025747242,0.00012957101],"domain_scores_gemma":[0.99925596,0.00009702924,0.000054788805,0.0002945545,0.00017475427,0.00012291079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010957156,0.00032943932,0.00028083226,0.0005129432,0.00068093353,0.0014437663,0.0017533596,0.0006848139,0.0026227443],"category_scores_gemma":[0.0017146318,0.0004342522,0.0005032293,0.0007106403,0.0005000729,0.0014140354,0.0022386836,0.0011487331,0.0012407599],"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":[0.00082475785,0.0010060072,0.010469118,0.00042741033,0.00021193436,0.0020881493,0.0016504346,0.069248006,0.20595655,0.086989544,0.03882468,0.58230346],"study_design_scores_gemma":[0.00023569111,0.00058735005,0.0066190944,0.0000939308,0.00013574041,0.0013875581,0.000587684,0.7442042,0.13092595,0.019004097,0.09610531,0.00011341234],"about_ca_topic_score_codex":0.0030304915,"about_ca_topic_score_gemma":0.003924827,"teacher_disagreement_score":0.0030304915,"about_ca_system_score_codex":0.00082627457,"about_ca_system_score_gemma":0.002156718,"threshold_uncertainty_score":0.0087739825},"labels":[],"label_agreement":null},{"id":"W6901606638","doi":"10.60692/79vzh-rdq90","title":"Enhancing Privacy and Security in Cloud Computing Using the Covenant Code Exchange","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Cloud Data Security Solutions","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":"Carleton University","funders":"","keywords":"Cloud computing; Covenant; Database transaction; Computer security model; Cloud computing security; Witness; Key exchange; Code (set theory)","score_opus":0.052640692339752285,"score_gpt":0.25801528846574495,"score_spread":0.20537459612599268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901606638","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":[0.047079053,0.00033568623,0.9142516,0.0054950356,0.0001763959,0.0004982614,0.00008524532,0.00034285133,0.03173585],"genre_scores_gemma":[0.78956723,0.00046887138,0.1970772,0.00084770366,0.00013892265,0.00031168657,0.00012613997,0.00009829451,0.011363918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9807951,0.009349546,0.0010518214,0.0017833824,0.0051905927,0.0018296464],"domain_scores_gemma":[0.9833782,0.0051520704,0.0015727086,0.0062774997,0.0025291424,0.0010904074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010855989,0.0006066707,0.00085979514,0.002053004,0.0035258217,0.0084770275,0.002507007,0.0032374507,0.003261409],"category_scores_gemma":[0.016615244,0.0005826026,0.0016583572,0.0019419489,0.0061574546,0.015310709,0.00924782,0.005396842,0.00064262334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009928861,0.00012407266,0.0013203921,0.000055457247,0.000026115878,0.00029521866,0.00055922254,0.025794309,0.0018381188,0.9482829,0.0014758505,0.020129027],"study_design_scores_gemma":[0.0001051123,0.00024419982,0.00067975494,0.00024796062,0.00006028728,0.00074852956,0.0007236423,0.42578855,0.007810289,0.51871467,0.044735264,0.00014177954],"about_ca_topic_score_codex":0.007920791,"about_ca_topic_score_gemma":0.0041344273,"teacher_disagreement_score":0.010855989,"about_ca_system_score_codex":0.003439877,"about_ca_system_score_gemma":0.006690351,"threshold_uncertainty_score":0.057412624},"labels":[],"label_agreement":null},{"id":"W6901767136","doi":"10.60692/9xg1e-vx027","title":"A quantitative analysis of current security concerns and solutions for cloud computing","year":2012,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Cloud Data Security Solutions","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":"Ericsson (Canada)","funders":"","keywords":"Cloud computing; Outsourcing; Cloud computing security; Security analysis; Computer security model; Data security","score_opus":0.10752657029240596,"score_gpt":0.308668591970283,"score_spread":0.20114202167787704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901767136","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5997059,0.039718676,0.08544902,0.0281804,0.0004230225,0.00066223776,0.0019197467,0.00045976497,0.24348123],"genre_scores_gemma":[0.9705887,0.007952054,0.017155066,0.000514766,0.00014938731,0.00013809877,0.0006203094,0.000046525485,0.0028350486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99062294,0.002243024,0.0006255891,0.0005423738,0.005124129,0.00084201567],"domain_scores_gemma":[0.9597214,0.01970878,0.0060100737,0.0013172723,0.0121074,0.001135006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006664738,0.00042959876,0.00032805558,0.00729015,0.0020623049,0.005843987,0.000772352,0.0013292048,0.003145468],"category_scores_gemma":[0.03017087,0.00028655832,0.0006094952,0.009255513,0.00228992,0.008015284,0.0013343081,0.0015541702,0.0005492446],"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":[0.00041013156,0.0002567326,0.0843899,0.0037616626,0.00017339362,0.00039195127,0.010533945,0.013759314,0.009815404,0.47950253,0.017316757,0.37968832],"study_design_scores_gemma":[0.000052341573,0.00089661754,0.2587168,0.0038195518,0.0003328647,0.002597913,0.053372122,0.069138736,0.011351406,0.19934262,0.4000162,0.00036290803],"about_ca_topic_score_codex":0.002731541,"about_ca_topic_score_gemma":0.0024536243,"teacher_disagreement_score":0.00729015,"about_ca_system_score_codex":0.0044673705,"about_ca_system_score_gemma":0.0025798571,"threshold_uncertainty_score":0.03524691},"labels":[],"label_agreement":null},{"id":"W6912624080","doi":"10.5281/zenodo.5111966","title":"Challenges Cybersecurity Architects Are Facing in a Cloud Computing Environment","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cloud Data Security Solutions","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":"Lockheed Martin (Canada)","funders":"","keywords":"Cloud computing; Provisioning; Cloud computing security; Software as a service; Service provider; Utility computing; Service (business); Cloud testing","score_opus":0.051969420513525474,"score_gpt":0.24490114841751764,"score_spread":0.19293172790399216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912624080","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07436702,0.015174334,0.10113007,0.55572695,0.0052666343,0.00032980862,0.0001445391,0.0009847694,0.2468759],"genre_scores_gemma":[0.79351,0.020372039,0.09355373,0.042348556,0.0029436182,0.00032702126,0.00032557893,0.00066039077,0.045958947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9878442,0.004767515,0.0006117916,0.0009468906,0.0043577845,0.0014717529],"domain_scores_gemma":[0.97869736,0.0065135877,0.0016728595,0.0022559827,0.006212278,0.0046479073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014549744,0.00093171187,0.0006224354,0.0021566397,0.008495251,0.023239892,0.0023415254,0.006894945,0.0059614843],"category_scores_gemma":[0.016655618,0.0010623387,0.0008993478,0.0019621695,0.010637375,0.025228707,0.011752856,0.011532253,0.0034129736],"study_design_candidate":"qualitative","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":[0.00006766361,0.00029268797,0.008226725,0.0008724989,0.00012811089,0.0022262123,0.02401323,0.01269829,0.0031974223,0.69333124,0.105109945,0.14983597],"study_design_scores_gemma":[0.000024803778,0.00010017662,0.002274031,0.0009431131,0.000049972725,0.0019403769,0.037025053,0.009029204,0.0010921498,0.4653429,0.48202577,0.00015239084],"about_ca_topic_score_codex":0.004338162,"about_ca_topic_score_gemma":0.0056874626,"teacher_disagreement_score":0.023239892,"about_ca_system_score_codex":0.0045163715,"about_ca_system_score_gemma":0.010848172,"threshold_uncertainty_score":0.07694733},"labels":[],"label_agreement":null},{"id":"W6924609416","doi":"10.15468/dl.dra4ah","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data collection; Data Protection Act 1998","score_opus":0.014168849434506478,"score_gpt":0.22950996797890738,"score_spread":0.2153411185444009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924609416","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000064968444,0.00004079915,0.000041377825,0.000044568562,0.000013154479,0.000006412571,0.99871194,0.00042665537,0.0006499869],"genre_scores_gemma":[0.00019053477,0.000036630223,0.00016430076,0.000045530523,0.0000034949685,0.000035643818,0.99905246,0.00010017236,0.00037119645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989071,0.00014050056,0.0001455072,0.00035401492,0.00026138598,0.00019153814],"domain_scores_gemma":[0.9978327,0.000575798,0.00020469741,0.00056669133,0.0005536637,0.00026638317],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094457634,0.0020724682,0.001510228,0.005215722,0.0010047226,0.002411745,0.002825078,0.0022027912,0.10932655],"category_scores_gemma":[0.005613027,0.0007836628,0.0011878166,0.009146781,0.00045810893,0.0020985224,0.002341258,0.0020080053,0.16961628],"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":[0.000034014964,0.000014754255,0.00046033258,0.0005260042,0.000015170214,0.0000187185,0.000020605929,0.00014731148,0.00012806994,0.00037079086,0.99679947,0.0014646964],"study_design_scores_gemma":[0.000089245346,0.000010730619,0.002171808,0.00020512506,0.000015093496,0.00005285313,0.00007386989,0.00022264053,0.00024243466,0.0007938092,0.9961045,0.000017979335],"about_ca_topic_score_codex":0.01997139,"about_ca_topic_score_gemma":0.034435224,"teacher_disagreement_score":0.89067346,"about_ca_system_score_codex":0.0017018546,"about_ca_system_score_gemma":0.0023160274,"threshold_uncertainty_score":0.36573374},"labels":[],"label_agreement":null},{"id":"W6939429813","doi":"10.60692/s2wrg-bmc12","title":"Enhancing Privacy and Security in Cloud Computing Using the Covenant Code Exchange","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Cloud Data Security Solutions","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":"Carleton University","funders":"","keywords":"Cloud computing; Covenant; Database transaction; Computer security model; Cloud computing security; Witness; Key exchange; Code (set theory)","score_opus":0.052640692339752285,"score_gpt":0.25801528846574495,"score_spread":0.20537459612599268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939429813","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":[0.047079053,0.00033568623,0.9142516,0.0054950356,0.0001763959,0.0004982614,0.00008524532,0.00034285133,0.03173585],"genre_scores_gemma":[0.78956723,0.00046887138,0.1970772,0.00084770366,0.00013892265,0.00031168657,0.00012613997,0.00009829451,0.011363918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9807951,0.009349546,0.0010518214,0.0017833824,0.0051905927,0.0018296464],"domain_scores_gemma":[0.9833782,0.0051520704,0.0015727086,0.0062774997,0.0025291424,0.0010904074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010855989,0.0006066707,0.00085979514,0.002053004,0.0035258217,0.0084770275,0.002507007,0.0032374507,0.003261409],"category_scores_gemma":[0.016615244,0.0005826026,0.0016583572,0.0019419489,0.0061574546,0.015310709,0.00924782,0.005396842,0.00064262334],"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":[0.00009928861,0.00012407266,0.0013203921,0.000055457247,0.000026115878,0.00029521866,0.00055922254,0.025794309,0.0018381188,0.9482829,0.0014758505,0.020129027],"study_design_scores_gemma":[0.0001051123,0.00024419982,0.00067975494,0.00024796062,0.00006028728,0.00074852956,0.0007236423,0.42578855,0.007810289,0.51871467,0.044735264,0.00014177954],"about_ca_topic_score_codex":0.007920791,"about_ca_topic_score_gemma":0.0041344273,"teacher_disagreement_score":0.010855989,"about_ca_system_score_codex":0.003439877,"about_ca_system_score_gemma":0.006690351,"threshold_uncertainty_score":0.057412624},"labels":[],"label_agreement":null},{"id":"W7019508867","doi":"","title":"Government Cloud Computing Strategies:\\nManagement of Information Risk and Impact on\\nConcepts and Practices of Information Management","year":2013,"lang":"en","type":"article","venue":"ResearchArchive–Te Puna Rangahau (Victoria University of Wellington)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Government (linguistics); Process (computing); Information management; Information system; Risk management; Information security management; Management information systems","score_opus":0.011798773683598749,"score_gpt":0.2591485830904121,"score_spread":0.24734980940681336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019508867","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":[0.6308043,0.008618952,0.01341004,0.12285744,0.00015069832,0.00058758707,0.00018067904,0.000089595684,0.22330068],"genre_scores_gemma":[0.9943962,0.0016750775,0.001999073,0.0009364311,0.000024123345,0.000065740605,0.00001915271,0.0000124439985,0.00087163574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9078693,0.06476064,0.0029382703,0.002330996,0.016052552,0.006048226],"domain_scores_gemma":[0.8650331,0.089548975,0.018779634,0.0068995846,0.0155108515,0.0042279046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039029233,0.00048714032,0.0004896793,0.005644782,0.007947928,0.02507759,0.0018450482,0.003070876,0.0030021586],"category_scores_gemma":[0.072488114,0.00046284197,0.0007182478,0.009814816,0.012997415,0.0145934215,0.0067823217,0.0039985706,0.00042364016],"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":[0.00018029496,0.0006674013,0.08807924,0.0013013632,0.00018953603,0.0009449655,0.15619148,0.0032555778,0.0010476067,0.5596006,0.0070009795,0.18154094],"study_design_scores_gemma":[0.000059733215,0.0003713712,0.053125974,0.00456325,0.00016817055,0.00074507785,0.6116597,0.007621059,0.0044968305,0.18531655,0.13171872,0.00015353557],"about_ca_topic_score_codex":0.030833773,"about_ca_topic_score_gemma":0.02483426,"teacher_disagreement_score":0.039029233,"about_ca_system_score_codex":0.02829823,"about_ca_system_score_gemma":0.04720698,"threshold_uncertainty_score":0.20640874},"labels":[],"label_agreement":null},{"id":"W7024700921","doi":"","title":"Socio-hydrology from Local to Large Scales: An Agent-based Modeling Approach","year":2022,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Endogeneity; Resource (disambiguation); Calibration; Social system; Range (aeronautics); Natural (archaeology)","score_opus":0.011511540564146645,"score_gpt":0.1961259684946197,"score_spread":0.18461442793047306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024700921","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":[0.11902205,0.0046888483,0.7582506,0.020098489,0.0004848651,0.00039083778,0.0017922933,0.00047052585,0.09480154],"genre_scores_gemma":[0.8738287,0.004164847,0.10350977,0.0007473329,0.00034874695,0.00069068756,0.00044648908,0.00014336301,0.016120069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995073,0.00027313214,0.000021146321,0.00007926305,0.000065216555,0.000053968593],"domain_scores_gemma":[0.9984675,0.0009961443,0.00019504291,0.000051764146,0.000111320594,0.00017813614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097643596,0.00082946033,0.001130305,0.0011534359,0.0013192924,0.003207954,0.0028542234,0.002502418,0.005545445],"category_scores_gemma":[0.0027662313,0.00063832634,0.0012877107,0.0011764516,0.0018734658,0.0035616292,0.0028233363,0.002359039,0.00047564093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015664089,0.000078066754,0.0028136482,0.000086625565,0.00011546909,0.00024244282,0.00058752444,0.7692495,0.00019940863,0.21908808,0.0025003897,0.005023199],"study_design_scores_gemma":[0.000015716954,0.000015659203,0.0004498712,0.000032572003,0.000024295767,0.000029437073,0.00025566973,0.92213583,0.000026381585,0.07157381,0.005423826,0.00001701443],"about_ca_topic_score_codex":0.030180702,"about_ca_topic_score_gemma":0.024120072,"teacher_disagreement_score":0.030180702,"about_ca_system_score_codex":0.0029126795,"about_ca_system_score_gemma":0.0025410084,"threshold_uncertainty_score":0.060010016},"labels":[],"label_agreement":null},{"id":"W7032797443","doi":"","title":"Ocular and adnexal anomalies in Treacher Collins syndrome:a retrospective multicenter study","year":2022,"lang":"en","type":"article","venue":"EUR Research Repository (Erasmus University Rotterdam)","topic":"Cloud Data Security Solutions","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":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Multicenter study; Treacher Collins syndrome; Retrospective cohort study; Adnexal Diseases","score_opus":0.02969491369421212,"score_gpt":0.2742914108222937,"score_spread":0.24459649712808157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032797443","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":[0.9991208,0.0002986398,0.000057487767,0.000020764493,0.0000043098107,0.000012847663,0.00016818864,0.0000020798232,0.00031495668],"genre_scores_gemma":[0.9993556,0.00016807983,0.000054662483,0.000027484475,0.000014999834,0.000011220651,0.0002776334,0.000003434906,0.0000868496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985279,0.00025302812,0.00022753155,0.0005696087,0.00018631502,0.00023572582],"domain_scores_gemma":[0.99630547,0.0006954536,0.0015166377,0.00041723892,0.0003839625,0.00068113883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007341589,0.0005648567,0.0009086901,0.0019844275,0.0010025812,0.0010188674,0.0005332601,0.00091918703,0.0031885067],"category_scores_gemma":[0.0034434046,0.00065120676,0.0008959037,0.0024194287,0.0010156996,0.0015265456,0.0009235127,0.0007110155,0.0005120848],"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":[0.00015848578,0.00006600536,0.99418044,0.000013889123,0.00008548615,0.0038938026,0.00015966284,0.000021955684,0.00036924664,0.000043461398,0.00007639543,0.0009311685],"study_design_scores_gemma":[0.00005523733,0.00051562017,0.95924467,0.000036356665,0.00020448293,0.037142985,0.0018382083,0.00015781383,0.00016105155,0.00007862556,0.00053432916,0.00003058599],"about_ca_topic_score_codex":0.003548956,"about_ca_topic_score_gemma":0.0023945428,"teacher_disagreement_score":0.003548956,"about_ca_system_score_codex":0.0005662874,"about_ca_system_score_gemma":0.0008273062,"threshold_uncertainty_score":0.010666668},"labels":[],"label_agreement":null},{"id":"W7033408709","doi":"","title":"Progrès réalisés dans l'utilisation des panneaux isolants sous vide dans le bâtiment","year":2011,"lang":"fr","type":"article","venue":"NPARC","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Durability; Context (archaeology); Vacuum insulated panel; Reliability (semiconductor)","score_opus":0.07165211163756072,"score_gpt":0.262652409844332,"score_spread":0.1910002982067713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033408709","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":[0.7713996,0.04407105,0.078673616,0.007143797,0.0014170513,0.00032525344,0.00024582306,0.0008405601,0.095883206],"genre_scores_gemma":[0.83428,0.023194524,0.09102164,0.00072553376,0.0003870091,0.00015486298,0.00035353436,0.00038131367,0.049501564],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970541,0.0009585324,0.00018294538,0.0003591154,0.0011102672,0.0003351158],"domain_scores_gemma":[0.99674356,0.0015151667,0.0004291065,0.00026944018,0.00073618564,0.00030653173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028897966,0.00078966503,0.0005084167,0.0010263944,0.0022710974,0.002717521,0.0011385666,0.0013904255,0.008282976],"category_scores_gemma":[0.004578556,0.00036914667,0.00077072677,0.0009352463,0.0016620322,0.00229857,0.0015168504,0.0021989713,0.0020244613],"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":[0.0012624529,0.0007080382,0.03779844,0.0026478774,0.00012827746,0.0046403073,0.0132367425,0.004759298,0.14065954,0.018240087,0.004206748,0.77171224],"study_design_scores_gemma":[0.0000955264,0.0042734235,0.08005516,0.0026901376,0.00029160827,0.017814444,0.01766311,0.0041692853,0.17866002,0.006089808,0.6878909,0.00030651878],"about_ca_topic_score_codex":0.008079689,"about_ca_topic_score_gemma":0.01567521,"teacher_disagreement_score":0.008282976,"about_ca_system_score_codex":0.0014161188,"about_ca_system_score_gemma":0.0017117294,"threshold_uncertainty_score":0.027709365},"labels":[],"label_agreement":null},{"id":"W7034483201","doi":"","title":"TD Securities Upgrades Power Co. of Canada (TSE:POW) to “Buy”","year":2020,"lang":"en","type":"other","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Key (lock); Work (physics); Electric power industry","score_opus":0.010227285599919051,"score_gpt":0.22937122911141053,"score_spread":0.21914394351149147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034483201","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021608425,0.00042693267,0.0010249056,0.012254471,0.0018044026,0.000098451805,0.006148487,0.0011961268,0.9748855],"genre_scores_gemma":[0.006527304,0.00035508478,0.00043400517,0.002115016,0.000084657375,0.000015657784,0.0025228413,0.00022753616,0.98771787],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989544,0.000020913254,0.000011371336,0.0000679328,0.0006535626,0.00029192033],"domain_scores_gemma":[0.99779713,0.0000531045,0.000037422487,0.00007167948,0.0014338928,0.0006067192],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053807383,0.00070318225,0.00026475076,0.0013522485,0.004045606,0.004199226,0.00068308756,0.0023615404,0.3081117],"category_scores_gemma":[0.0020878152,0.00035299596,0.00048350124,0.0011019296,0.0009248644,0.0018902636,0.0013990772,0.0026088455,0.15429857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036239464,0.000025984355,0.00042253305,0.000024556979,0.0000032030127,0.000046582296,0.00003153296,0.00005573932,0.0003234353,0.010448094,0.96592975,0.022652458],"study_design_scores_gemma":[0.000008519249,0.000008922538,0.0007478609,0.000021836913,0.0000021136127,0.00002221227,0.00006131596,0.00020100856,0.00029945446,0.0008622278,0.99775773,0.000006757352],"about_ca_topic_score_codex":0.63931155,"about_ca_topic_score_gemma":0.81651473,"teacher_disagreement_score":0.36068845,"about_ca_system_score_codex":0.01080258,"about_ca_system_score_gemma":0.03015041,"threshold_uncertainty_score":0.98689467},"labels":[],"label_agreement":null},{"id":"W7034744560","doi":"","title":"Uncertainty Quantification of Tightly Integrated LiDAR/IMU Localization Algorithms","year":2023,"lang":"en","type":"dissertation","venue":"VTechWorks (Virginia Tech)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; Massachusetts Institute of Technology; National Science Foundation","keywords":"Inertial measurement unit; Ranging; Lidar; Orientation (vector space); Inertial navigation system; Exploit; Measurement uncertainty; Extended Kalman filter; Kalman filter","score_opus":0.0206139015269598,"score_gpt":0.2847876595811432,"score_spread":0.2641737580541834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034744560","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":[0.01284427,0.00020454015,0.9861682,0.000078192264,0.000016389584,0.000030444513,0.000026991822,0.0001534889,0.00047743053],"genre_scores_gemma":[0.69893163,0.00039101858,0.29899168,0.000118714815,0.00009173571,0.00016561632,0.0002075219,0.00014347503,0.0009585618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9922788,0.0018743039,0.0005718619,0.0009939764,0.0038311994,0.00044979775],"domain_scores_gemma":[0.9842054,0.0085316915,0.002274595,0.0017736657,0.0028487956,0.00036583634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007565768,0.0015931815,0.0013901037,0.0021772254,0.00069840736,0.0026584843,0.0021843372,0.0013348254,0.00076729426],"category_scores_gemma":[0.030985095,0.00096967025,0.0009938263,0.0016363701,0.0016535833,0.0039371704,0.0054249545,0.002054199,0.00023893004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010589693,0.000032350592,0.0032898376,0.00008988599,0.00010299878,0.00006452375,0.00013227716,0.9129297,0.0030561585,0.019516764,0.00025998807,0.06041961],"study_design_scores_gemma":[0.0000032277267,0.00003930935,0.0004728272,0.0000155058,0.000010988131,0.0000246953,0.000017085262,0.9894254,0.0015554046,0.008130349,0.0002912451,0.0000138363575],"about_ca_topic_score_codex":0.0035700083,"about_ca_topic_score_gemma":0.0021653387,"teacher_disagreement_score":0.007565768,"about_ca_system_score_codex":0.0019124338,"about_ca_system_score_gemma":0.0017224826,"threshold_uncertainty_score":0.04001206},"labels":[],"label_agreement":null},{"id":"W7034817075","doi":"","title":"Wildlife ecology, conservation, and management","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Woodland caribou; Wildlife management; Endangered species; Population; Biodiversity; Wildlife conservation; Woodland; Threatened species","score_opus":0.013650305882276803,"score_gpt":0.23489001305623536,"score_spread":0.22123970717395855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034817075","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011875007,0.120719984,0.01021465,0.26095828,0.009124584,0.00045745363,0.0014731386,0.00052569906,0.5846513],"genre_scores_gemma":[0.24895725,0.19504313,0.021925176,0.035228085,0.007970563,0.00054007414,0.003558035,0.00022389732,0.48655382],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855036,0.0003527464,0.00006456095,0.00017522895,0.00061228435,0.0002448162],"domain_scores_gemma":[0.9974009,0.0002032211,0.00014605034,0.00019342771,0.0012169812,0.00083952246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002515174,0.00040836376,0.0004771433,0.0019064107,0.0022084434,0.0047601694,0.0010275323,0.0012159334,0.023542989],"category_scores_gemma":[0.0046237847,0.00023007064,0.00022407726,0.0016862787,0.0018428996,0.0017378209,0.0028645778,0.0014542997,0.0055038193],"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":[0.0000132698,0.00005293942,0.008116236,0.00014937113,0.000024305229,0.000079668935,0.00036402277,0.00030913515,0.0002505483,0.019517392,0.38085648,0.5902667],"study_design_scores_gemma":[0.0000062042436,0.00003248244,0.015169814,0.00043980082,0.000008066865,0.00015290834,0.00090722856,0.00027765124,0.00008835909,0.008273379,0.9746328,0.000011389693],"about_ca_topic_score_codex":0.033709705,"about_ca_topic_score_gemma":0.05926309,"teacher_disagreement_score":0.033709705,"about_ca_system_score_codex":0.00390746,"about_ca_system_score_gemma":0.007971436,"threshold_uncertainty_score":0.07875919},"labels":[],"label_agreement":null},{"id":"W7036318202","doi":"","title":"Applications of Photogrammetric and Computer Vision Techniques in Shake Table Testing","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shake; Table (database); Earthquake shaking table; Photogrammetry; TOPS; Visual inspection","score_opus":0.016978726128365727,"score_gpt":0.266192016564586,"score_spread":0.24921329043622029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036318202","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":[0.11713248,0.002671042,0.86686736,0.00045169532,0.00017492387,0.000241186,0.00013576006,0.0009402233,0.011385294],"genre_scores_gemma":[0.63926977,0.0017509509,0.3557317,0.00017040753,0.00008965453,0.00012656176,0.000106572224,0.00008734581,0.002667126],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845135,0.00043628816,0.00005383672,0.00019194711,0.0007800028,0.00008659105],"domain_scores_gemma":[0.99843365,0.00082405965,0.00015379823,0.0002145868,0.0003192404,0.000054753644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076004025,0.000651605,0.00037171697,0.0032046,0.0004104966,0.0008585632,0.0006446808,0.0011740582,0.0021674454],"category_scores_gemma":[0.0027951181,0.00032946194,0.00027518254,0.00226706,0.0011616489,0.0010747259,0.00075385766,0.00054343604,0.0004724771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000492983,0.00028251574,0.005156258,0.0003670531,0.000067919296,0.00086703873,0.0006623295,0.03412614,0.23002474,0.006290894,0.0013021292,0.72036],"study_design_scores_gemma":[0.00016394946,0.0023788123,0.05428581,0.0002832366,0.00011599505,0.0076850764,0.0034589258,0.44881073,0.41573355,0.031352136,0.0353776,0.000354206],"about_ca_topic_score_codex":0.00163429,"about_ca_topic_score_gemma":0.002523734,"teacher_disagreement_score":0.0032046,"about_ca_system_score_codex":0.0004216798,"about_ca_system_score_gemma":0.00041752667,"threshold_uncertainty_score":0.007250786},"labels":[],"label_agreement":null},{"id":"W7036774880","doi":"","title":"Confirmed Occurrence and Nesting of the Kirtland’s Warbler at CFB Petawawa, Ontario A First for Canada","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministère de la Défense Nationale","keywords":"Nesting (process); Nesting season; Warbler; Nest (protein structural motif)","score_opus":0.01792480205262428,"score_gpt":0.1748520717771961,"score_spread":0.15692726972457183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036774880","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":[0.97640103,0.00027336585,0.00034966556,0.000627374,0.000055125154,0.00009251724,0.0030092506,0.00003643418,0.01915516],"genre_scores_gemma":[0.9821863,0.00019873731,0.0007838411,0.00019581764,0.0000070001643,0.000032334126,0.00090399134,0.00001573183,0.015676247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956626,0.000028104447,0.00000925082,0.000066848996,0.00015461397,0.00017482605],"domain_scores_gemma":[0.9977806,0.000077172386,0.00019273243,0.00007943506,0.001073159,0.00079695974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035749222,0.00020959233,0.0002650066,0.0013285183,0.00723325,0.0007047642,0.0009735122,0.00053506176,0.005837013],"category_scores_gemma":[0.001218249,0.00030893684,0.00018103534,0.0009163146,0.0011392289,0.00033647742,0.000754267,0.00075937924,0.0008097964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022875833,0.000097707954,0.90858704,0.000119387754,0.00005580095,0.0028810138,0.026064323,0.00034903578,0.008694442,0.0013151397,0.023372505,0.028234811],"study_design_scores_gemma":[0.0000054064767,0.000058139347,0.9620205,0.00007586229,0.000012855385,0.00048537445,0.021766255,0.00025477086,0.000531211,0.000064577194,0.014703864,0.000021225653],"about_ca_topic_score_codex":0.9830813,"about_ca_topic_score_gemma":0.99839944,"teacher_disagreement_score":0.016918719,"about_ca_system_score_codex":0.01167034,"about_ca_system_score_gemma":0.014246673,"threshold_uncertainty_score":0.0846746},"labels":[],"label_agreement":null},{"id":"W7040485445","doi":"","title":"Ed's Tower","year":2021,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nephew and niece; Tourism; Sculpture; Politics; Documentation; Girl; World War II; Adventure; Nomination; Geographer; Coral","score_opus":0.020034239233286833,"score_gpt":0.22034702255603988,"score_spread":0.20031278332275304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7040485445","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055526954,0.0033758227,0.00035149432,0.011010072,0.017477484,0.000062602965,0.001137371,0.0007558965,0.9652739],"genre_scores_gemma":[0.0010938877,0.0009822965,0.00010941773,0.0018832593,0.0006406752,0.000013838617,0.00031293518,0.00014697279,0.99481684],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994825,0.000058352074,0.000025570731,0.00011588284,0.00020275982,0.000114798706],"domain_scores_gemma":[0.9990927,0.000069076006,0.000027482252,0.00007409303,0.00029146776,0.0004451947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041651278,0.0009365687,0.00046155349,0.0008773358,0.0028838548,0.004829284,0.0011168183,0.0020929966,0.79672986],"category_scores_gemma":[0.001776099,0.0003338346,0.00051624444,0.00066500035,0.0005059969,0.0027602739,0.003769684,0.0030458318,0.56192595],"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":[0.000013285198,0.000012697647,0.00008786303,0.00004322269,0.0000011515294,0.00009687634,0.0000627639,0.0000112844555,0.000067709065,0.001637615,0.9641902,0.033775333],"study_design_scores_gemma":[0.0000015270066,0.0000032685743,0.00008463476,0.000032796357,4.323854e-7,0.000054332726,0.00007429776,0.000004309119,0.0000137663965,0.000120678385,0.99960846,0.000001574833],"about_ca_topic_score_codex":0.006375062,"about_ca_topic_score_gemma":0.021695163,"teacher_disagreement_score":0.79672986,"about_ca_system_score_codex":0.0013032355,"about_ca_system_score_gemma":0.0022213303,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7116319413","doi":"10.18280/ijsse.150913","title":"Solution Evaluation to Enhance Cloud Computing Security: Challenges and Solutions","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Key (lock)","score_opus":0.020364832488168415,"score_gpt":0.2961107867223316,"score_spread":0.2757459542341632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116319413","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":[0.09353878,0.034554534,0.4612959,0.1227033,0.002602076,0.0054706363,0.0007002047,0.0013081059,0.2778265],"genre_scores_gemma":[0.63102233,0.013204932,0.33813196,0.0032352828,0.00036645262,0.0012739688,0.000604678,0.00020110438,0.011959233],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9803859,0.010582578,0.00075757864,0.00064770406,0.006139481,0.0014867665],"domain_scores_gemma":[0.98804873,0.003111265,0.00086493284,0.0009772114,0.006163084,0.00083474995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017460965,0.0010649257,0.0010504118,0.0030225553,0.0027433424,0.00878531,0.0020836568,0.002499218,0.008974454],"category_scores_gemma":[0.022919176,0.00035177148,0.0009297148,0.0036627634,0.0020181464,0.008274309,0.0039201286,0.00260511,0.0013295246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031955395,0.00087931997,0.0036295601,0.0024266185,0.00012013487,0.0001435998,0.0007240315,0.024332283,0.0044639627,0.4404309,0.032549832,0.4899802],"study_design_scores_gemma":[0.00048038643,0.0021633036,0.003136076,0.005050847,0.00024323915,0.00040231837,0.009408475,0.3008837,0.01576475,0.33976308,0.3225244,0.00017941541],"about_ca_topic_score_codex":0.0042608134,"about_ca_topic_score_gemma":0.004784561,"teacher_disagreement_score":0.017460965,"about_ca_system_score_codex":0.0070082773,"about_ca_system_score_gemma":0.01410137,"threshold_uncertainty_score":0.09234345},"labels":[],"label_agreement":null},{"id":"W7117868925","doi":"10.5281/zenodo.18110036","title":"CLOUD COMPLIANCE IN ACTION","year":2024,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cloud Data Security Solutions","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":"Institute on Governance","funders":"","keywords":"Cloud computing; Audit; Compliance (psychology); NIST; Action (physics); Audit trail; Key (lock)","score_opus":0.09509550360380736,"score_gpt":0.29412498689752314,"score_spread":0.19902948329371578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117868925","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0092519475,0.0019074827,0.06809095,0.053048458,0.0027392672,0.0005884199,0.00020132175,0.0017491963,0.8624229],"genre_scores_gemma":[0.37956625,0.004060507,0.0942512,0.039275423,0.0012311848,0.00063891,0.000704855,0.0010040735,0.47926763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9680109,0.009642631,0.0015040612,0.002306404,0.016067443,0.0024685531],"domain_scores_gemma":[0.98534334,0.004831777,0.0011626816,0.0032517752,0.0044571846,0.00095323613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014360937,0.00068191777,0.0003780408,0.0020112884,0.0051316665,0.011614001,0.0021951662,0.005884111,0.017360698],"category_scores_gemma":[0.02157627,0.0003642222,0.0007848993,0.0014643938,0.005209319,0.0074041425,0.007299854,0.0048069325,0.004901978],"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":[0.000016918573,0.00010816921,0.0008416698,0.00014321266,0.000012207021,0.00031359194,0.0032069092,0.0010842886,0.00087639334,0.77282727,0.11606528,0.10450405],"study_design_scores_gemma":[0.000015939211,0.000055778506,0.00094153185,0.0005264377,0.000013695849,0.00037450474,0.002448547,0.0016908795,0.0031522494,0.09410446,0.89663696,0.000038860766],"about_ca_topic_score_codex":0.008895311,"about_ca_topic_score_gemma":0.009282215,"teacher_disagreement_score":0.017360698,"about_ca_system_score_codex":0.0062316516,"about_ca_system_score_gemma":0.01907841,"threshold_uncertainty_score":0.075948775},"labels":[],"label_agreement":null},{"id":"W7117886280","doi":"10.5281/zenodo.18110037","title":"CLOUD COMPLIANCE IN ACTION","year":2024,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cloud Data Security Solutions","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":"Institute on Governance","funders":"","keywords":"Cloud computing; Audit; Compliance (psychology); NIST; Action (physics); Audit trail; Key (lock)","score_opus":0.09509550360380736,"score_gpt":0.29412498689752314,"score_spread":0.19902948329371578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117886280","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0092519475,0.0019074827,0.06809095,0.053048458,0.0027392672,0.0005884199,0.00020132175,0.0017491963,0.8624229],"genre_scores_gemma":[0.37956625,0.004060507,0.0942512,0.039275423,0.0012311848,0.00063891,0.000704855,0.0010040735,0.47926763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9680109,0.009642631,0.0015040612,0.002306404,0.016067443,0.0024685531],"domain_scores_gemma":[0.98534334,0.004831777,0.0011626816,0.0032517752,0.0044571846,0.00095323613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014360937,0.00068191777,0.0003780408,0.0020112884,0.0051316665,0.011614001,0.0021951662,0.005884111,0.017360698],"category_scores_gemma":[0.02157627,0.0003642222,0.0007848993,0.0014643938,0.005209319,0.0074041425,0.007299854,0.0048069325,0.004901978],"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":[0.000016918573,0.00010816921,0.0008416698,0.00014321266,0.000012207021,0.00031359194,0.0032069092,0.0010842886,0.00087639334,0.77282727,0.11606528,0.10450405],"study_design_scores_gemma":[0.000015939211,0.000055778506,0.00094153185,0.0005264377,0.000013695849,0.00037450474,0.002448547,0.0016908795,0.0031522494,0.09410446,0.89663696,0.000038860766],"about_ca_topic_score_codex":0.008895311,"about_ca_topic_score_gemma":0.009282215,"teacher_disagreement_score":0.017360698,"about_ca_system_score_codex":0.0062316516,"about_ca_system_score_gemma":0.01907841,"threshold_uncertainty_score":0.075948775},"labels":[],"label_agreement":null},{"id":"W7123352936","doi":"10.1109/isai-nlp66160.2025.11320545","title":"AI-Driven Zero-Trust Cloud Security: Automated Threat Response Leveraging Multi-Cloud Data Lakes and LLMS","year":2025,"lang":"","type":"article","venue":"","topic":"Cloud Data Security Solutions","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":"Northwestern Polytechnic","funders":"","keywords":"Adversarial system; Context (archaeology); Automation; Cloud computing; Operationalization; Implementation; Analytics; Big data","score_opus":0.04481327351801913,"score_gpt":0.32072641581997935,"score_spread":0.27591314230196023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123352936","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":[0.060816888,0.00012033018,0.92653275,0.0022394373,0.0000396702,0.0001960628,0.00008519612,0.0060569644,0.003912748],"genre_scores_gemma":[0.7726676,0.00009876649,0.2244233,0.00037370686,0.000022581491,0.00010009077,0.00018990521,0.0003876121,0.001736414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99556184,0.0019179954,0.00023420378,0.0007151278,0.0011940504,0.0003768115],"domain_scores_gemma":[0.9888066,0.0045955647,0.0011872802,0.0037726578,0.0011660174,0.00047187283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040588942,0.00079342327,0.00039220235,0.0007547321,0.0011223236,0.0033733873,0.0016885069,0.0011035863,0.0016350695],"category_scores_gemma":[0.014621193,0.0005065273,0.0009992064,0.0004060318,0.0029441589,0.0060827495,0.0049715727,0.0028544052,0.0004763917],"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":[0.0009435366,0.000684092,0.020379225,0.0005977424,0.00027042392,0.0014164621,0.0113483155,0.25648195,0.07984466,0.34349516,0.0077586747,0.27677986],"study_design_scores_gemma":[0.000029260284,0.000102446626,0.00075956195,0.00005510529,0.000043029893,0.0001430861,0.0005879496,0.84777504,0.023272848,0.11772249,0.009455755,0.00005347201],"about_ca_topic_score_codex":0.0055773226,"about_ca_topic_score_gemma":0.006840421,"teacher_disagreement_score":0.0055773226,"about_ca_system_score_codex":0.0018690154,"about_ca_system_score_gemma":0.0032927464,"threshold_uncertainty_score":0.021465778},"labels":[],"label_agreement":null},{"id":"W7126151033","doi":"10.1007/978-3-032-07151-4_6","title":"Cloud Security","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Cloud Data Security Solutions","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":"Douglas College","funders":"","keywords":"Cloud computing; Cloud computing security; Data security; Cloud service provider; Computer security model; Cloud testing","score_opus":0.01685982696701989,"score_gpt":0.2441031021142653,"score_spread":0.2272432751472454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126151033","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003023213,0.007915227,0.0061475825,0.0022042103,0.0017744618,0.000050537656,0.00012924038,0.00030452543,0.98117185],"genre_scores_gemma":[0.0027683813,0.0071050604,0.001657534,0.00094638095,0.0005849554,0.000024969891,0.00016336526,0.00015170209,0.98659766],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997192,0.000026063464,0.0000071517966,0.000043126736,0.00017145203,0.000032914333],"domain_scores_gemma":[0.99976665,0.000046387388,0.000012431067,0.000050284885,0.0000844043,0.00003988479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024041743,0.0009804701,0.00038258467,0.0012693186,0.0013234434,0.003269946,0.0005909762,0.0011838609,0.118492566],"category_scores_gemma":[0.00069121044,0.00039043764,0.00035499633,0.0014366179,0.0007860403,0.0029801002,0.0014992859,0.0027392257,0.082164995],"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":[0.000006626538,0.000029064677,0.000054010743,0.00009851009,0.0000029323253,0.000037666872,0.00014425576,0.00033874056,0.00065852515,0.09591414,0.7144149,0.18830062],"study_design_scores_gemma":[9.246269e-7,0.000003169804,0.000075698386,0.00007270025,9.875434e-7,0.00006725381,0.00003303673,0.00022137178,0.00013001829,0.013990635,0.98540163,0.0000026722173],"about_ca_topic_score_codex":0.0038475995,"about_ca_topic_score_gemma":0.009494467,"teacher_disagreement_score":0.118492566,"about_ca_system_score_codex":0.0019382364,"about_ca_system_score_gemma":0.0014015911,"threshold_uncertainty_score":0.39639717},"labels":[],"label_agreement":null},{"id":"W7127187318","doi":"10.18280/ijsse.151112","title":"Enhancing Private Cloud Security Using Knowledge Understanding Assessment Defense Method for Distributed Denial of Service Attack Mitigation","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Cloud computing; Vulnerability (computing); Cloud computing security; Service (business); Service provider","score_opus":0.03063425825083062,"score_gpt":0.3381439102221115,"score_spread":0.3075096519712809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127187318","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":[0.11787894,0.000375627,0.87154144,0.00054877304,0.000044228003,0.00018793308,0.000046631292,0.0012160736,0.008160397],"genre_scores_gemma":[0.8880377,0.00017078595,0.11042988,0.00006429852,0.000012548399,0.000040342384,0.00003966144,0.000021587977,0.0011831525],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993925,0.00012453116,0.000027496006,0.00008602755,0.00025215765,0.000117150754],"domain_scores_gemma":[0.9994549,0.00013424504,0.000094230774,0.00012200859,0.00014551524,0.000049098075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417455,0.00042085635,0.00038614438,0.0008237569,0.000521975,0.0010432389,0.00063198205,0.0005220357,0.0009284884],"category_scores_gemma":[0.001367193,0.00011115942,0.0003933852,0.00033130703,0.0005637715,0.0020234422,0.0014668474,0.0007042093,0.00018124157],"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":[0.00032463393,0.000706617,0.00818086,0.00025761154,0.00013539927,0.00065514375,0.00086201006,0.20855872,0.104932666,0.07784494,0.0030294699,0.594512],"study_design_scores_gemma":[0.000026828506,0.00016796673,0.001595795,0.00003567103,0.00005320618,0.0003505916,0.0002531174,0.932061,0.039941132,0.018128116,0.007343241,0.00004331894],"about_ca_topic_score_codex":0.0023443042,"about_ca_topic_score_gemma":0.0022551387,"teacher_disagreement_score":0.0023443042,"about_ca_system_score_codex":0.0007863595,"about_ca_system_score_gemma":0.0014770756,"threshold_uncertainty_score":0.005705476},"labels":[],"label_agreement":null},{"id":"W7137938881","doi":"10.64388/irev2i9-1714912","title":"A Review of Comparative Data Protection Regulations and Secure Cloud Implementation Strategies Across Jurisdictions","year":2019,"lang":"en","type":"article","venue":"Iconic Research and Engineering Journals","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Data Protection Act 1998; Cloud computing security; Enforcement; Data security; Encryption; Data breach; Information privacy; Corporate governance","score_opus":0.1714410332941196,"score_gpt":0.4553724761501476,"score_spread":0.283931442856028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7137938881","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038143366,0.9812368,0.001873349,0.002349035,0.000252293,0.0001872197,0.00074018934,0.000026325535,0.009520382],"genre_scores_gemma":[0.022908257,0.97254217,0.002212902,0.0011697039,0.00006235271,0.00021524336,0.00048651034,0.000019777504,0.00038304392],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9864444,0.005372434,0.0033975705,0.0010230505,0.0033589741,0.0004035519],"domain_scores_gemma":[0.91494834,0.06831249,0.006790974,0.001633771,0.007843668,0.00047072466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015468185,0.0006308288,0.0015571276,0.014645787,0.0011158866,0.003901753,0.0015649095,0.0015679558,0.004156692],"category_scores_gemma":[0.06003297,0.0006479439,0.0020920637,0.019040324,0.0017215147,0.0043570544,0.0017783477,0.0015401578,0.0005228614],"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":[0.00013045919,0.00006168247,0.0022246982,0.4102459,0.00087906496,0.0003270645,0.0044410555,0.0008456501,0.0010293184,0.03827452,0.014948757,0.5265919],"study_design_scores_gemma":[0.000025892517,0.00018740993,0.00816906,0.51478994,0.0026392615,0.00050009834,0.00443376,0.00016214352,0.00076088257,0.005129122,0.463151,0.000051417257],"about_ca_topic_score_codex":0.009886308,"about_ca_topic_score_gemma":0.02135959,"teacher_disagreement_score":0.015468185,"about_ca_system_score_codex":0.0049540326,"about_ca_system_score_gemma":0.02657894,"threshold_uncertainty_score":0.081804514},"labels":[],"label_agreement":null},{"id":"W7138921337","doi":"10.5281/zenodo.19116010","title":"Genesys Cloud CX3 - Deployment Project","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cloud Data Security Solutions","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":"St. Clair College","funders":"","keywords":"Cloud computing; Software deployment; Certification; Audit; Web site; Digital forensics; Information security","score_opus":0.04864899134061868,"score_gpt":0.2844279674291163,"score_spread":0.23577897608849763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138921337","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2193311,0.0054567014,0.14950833,0.016414676,0.006291377,0.0027308383,0.02932759,0.11941021,0.45152915],"genre_scores_gemma":[0.53859717,0.0028828667,0.13020541,0.0037517233,0.0007014879,0.0008824024,0.07363599,0.014946306,0.23439655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875486,0.00022960876,0.000033144526,0.00024604498,0.00040636663,0.00033000438],"domain_scores_gemma":[0.9985384,0.00014189843,0.000040017723,0.0002715797,0.00048424935,0.0005239755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018964604,0.000730978,0.00041951527,0.00056147575,0.0009244278,0.0017898873,0.0010108087,0.000629039,0.03230796],"category_scores_gemma":[0.0017892417,0.00018396866,0.00039858054,0.00061601266,0.0004265503,0.0016912331,0.0017821039,0.0012306981,0.015914187],"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":[0.0026194686,0.00086323015,0.005328718,0.00037734504,0.000083359424,0.0007988193,0.00065888267,0.006328722,0.026559012,0.037199136,0.67235845,0.24682501],"study_design_scores_gemma":[0.0005420238,0.0004946661,0.007349665,0.00013132485,0.00004180089,0.0003948184,0.00061867834,0.03417276,0.012621044,0.007761053,0.9358249,0.000047239315],"about_ca_topic_score_codex":0.013608246,"about_ca_topic_score_gemma":0.012607491,"teacher_disagreement_score":0.967692,"about_ca_system_score_codex":0.0016913925,"about_ca_system_score_gemma":0.0026749633,"threshold_uncertainty_score":0.108080864},"labels":[],"label_agreement":null},{"id":"W7138988287","doi":"10.5281/zenodo.19116009","title":"Genesys Cloud CX3 - Deployment Project","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cloud Data Security Solutions","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":"St. Clair College","funders":"","keywords":"Cloud computing; Software deployment; Certification; Audit; Web site; Digital forensics; Information security","score_opus":0.04864899134061868,"score_gpt":0.2844279674291163,"score_spread":0.23577897608849763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138988287","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2193311,0.0054567014,0.14950833,0.016414676,0.006291377,0.0027308383,0.02932759,0.11941021,0.45152915],"genre_scores_gemma":[0.53859717,0.0028828667,0.13020541,0.0037517233,0.0007014879,0.0008824024,0.07363599,0.014946306,0.23439655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875486,0.00022960876,0.000033144526,0.00024604498,0.00040636663,0.00033000438],"domain_scores_gemma":[0.9985384,0.00014189843,0.000040017723,0.0002715797,0.00048424935,0.0005239755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018964604,0.000730978,0.00041951527,0.00056147575,0.0009244278,0.0017898873,0.0010108087,0.000629039,0.03230796],"category_scores_gemma":[0.0017892417,0.00018396866,0.00039858054,0.00061601266,0.0004265503,0.0016912331,0.0017821039,0.0012306981,0.015914187],"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":[0.0026194686,0.00086323015,0.005328718,0.00037734504,0.000083359424,0.0007988193,0.00065888267,0.006328722,0.026559012,0.037199136,0.67235845,0.24682501],"study_design_scores_gemma":[0.0005420238,0.0004946661,0.007349665,0.00013132485,0.00004180089,0.0003948184,0.00061867834,0.03417276,0.012621044,0.007761053,0.9358249,0.000047239315],"about_ca_topic_score_codex":0.013608246,"about_ca_topic_score_gemma":0.012607491,"teacher_disagreement_score":0.03230796,"about_ca_system_score_codex":0.0016913925,"about_ca_system_score_gemma":0.0026749633,"threshold_uncertainty_score":0.108080864},"labels":[],"label_agreement":null},{"id":"W964026779","doi":"10.2197/ipsjjip.23.392","title":"A Classification of Intrusion Detection Systems in the Cloud","year":2015,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Schlumberger Foundation","keywords":"Cloud computing; Computer science; Software deployment; Intrusion detection system; Scalability; Adaptability; Computer security; Architecture; Software engineering; Database; Operating system","score_opus":0.03672456630860296,"score_gpt":0.2766936222549267,"score_spread":0.23996905594632376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W964026779","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2507795,0.13274457,0.490264,0.01579422,0.002676948,0.0020535043,0.0018277715,0.003921945,0.099937655],"genre_scores_gemma":[0.6435198,0.07169943,0.26761326,0.0017371859,0.0011310027,0.00049335544,0.002506472,0.00020081848,0.011098598],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963767,0.0003744222,0.00060848484,0.00048930594,0.0016944756,0.0004566112],"domain_scores_gemma":[0.9952722,0.0011745151,0.0008602259,0.00055000116,0.0019068362,0.00023619445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016360382,0.0007478444,0.0006252972,0.008963003,0.0012400598,0.0040400666,0.0013645536,0.0013014197,0.0011095068],"category_scores_gemma":[0.004695595,0.00030731971,0.0009576355,0.0075683533,0.00090049347,0.0038668665,0.0010000283,0.0012940913,0.00071906584],"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":[0.00018564334,0.00033444783,0.0465928,0.0015005989,0.00011011724,0.00060872635,0.0009216945,0.007384411,0.011687953,0.07522316,0.014448436,0.841002],"study_design_scores_gemma":[0.000067854,0.00089687837,0.11449531,0.0038036085,0.00039578567,0.008714746,0.004554468,0.3025416,0.03466126,0.082872085,0.44669953,0.00029690028],"about_ca_topic_score_codex":0.0028157923,"about_ca_topic_score_gemma":0.0021496948,"teacher_disagreement_score":0.008963003,"about_ca_system_score_codex":0.001447067,"about_ca_system_score_gemma":0.0013708997,"threshold_uncertainty_score":0.010499239},"labels":[],"label_agreement":null},{"id":"W969702759","doi":"10.1007/978-3-319-17040-4_3","title":"Privacy-Preserving Public Auditing in Cloud Computing with Data Deduplication","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data deduplication; Computer science; Cloud computing; Data integrity; Audit; Cloud storage; Computer security; Scheme (mathematics); Information privacy; Database; Authentication (law); Key (lock); Operating system; Accounting","score_opus":0.07694424103809425,"score_gpt":0.29781577471776294,"score_spread":0.2208715336796687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W969702759","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":[0.052609053,0.00329536,0.92345864,0.0022220674,0.00052988005,0.00030942296,0.00043821582,0.0013555947,0.015781647],"genre_scores_gemma":[0.87512654,0.0017282722,0.11296055,0.00027275825,0.00028729282,0.00013042877,0.00029372834,0.00019104201,0.009009255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99376315,0.0017631743,0.00051751087,0.00081320823,0.0021410296,0.0010020477],"domain_scores_gemma":[0.9871525,0.0037330727,0.0006423054,0.007265829,0.0009783934,0.0002279355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052182567,0.00065550825,0.0014614424,0.00089689234,0.0019858852,0.004893384,0.0025457903,0.0013481483,0.0022486118],"category_scores_gemma":[0.012614907,0.0008133849,0.0012518669,0.0025112068,0.0022339937,0.008813525,0.0052212724,0.003972113,0.0007206619],"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":[0.00083472324,0.00039279312,0.0022547147,0.0005019868,0.00014928293,0.0006371103,0.0006530542,0.08737388,0.008204196,0.55199265,0.014679898,0.3323257],"study_design_scores_gemma":[0.00006982045,0.00009445807,0.00059525995,0.00014409001,0.00007809563,0.0010612161,0.00022919328,0.4684901,0.018626714,0.4959358,0.014608627,0.00006663591],"about_ca_topic_score_codex":0.0010232788,"about_ca_topic_score_gemma":0.00076002936,"teacher_disagreement_score":0.0052182567,"about_ca_system_score_codex":0.0018068091,"about_ca_system_score_gemma":0.0038873984,"threshold_uncertainty_score":0.02759707},"labels":[],"label_agreement":null}]}