{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1e004a36ce91","filters":{"venue":"Trust, Security And Privacy In Computing And Communications"}},"results":[{"id":"W2184486309","doi":"10.1109/trustcom-bigdatase-ispa.2015.436","title":"RLTE: A Reinforcement Learning Based Trust Establishment Model","year":2015,"lang":"en","type":"article","venue":"Trust, Security And Privacy In Computing And Communications","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Honesty; Reputation; Reinforcement learning; Computer science; Trustworthiness; Order (exchange); Reinforcement; Work (physics); Artificial intelligence; Psychology; Social psychology; Computer security; Business; Law; Political science; Engineering; Finance","authors":[{"name":"Abdullah Aref","is_ca":true},{"name":"Thomas Tran","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07272068516223065,"gpt":0.3242560560511972,"spread":0.2515353708889666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113864,0.0001335373,0.0001696668,0.0001242244,0.0004331349,0.0003300155,0.0009958001,0.00006294428,0.000002835655],"category_scores_gemma":[0.0001505538,0.0001387762,0.00002444808,0.000368808,0.0001137439,0.0003431955,0.001412517,0.0004485625,0.000002778472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005172208,"about_ca_system_score_gemma":0.0001515245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001302242,"about_ca_topic_score_gemma":0.00001752372,"domain_scores_codex":[0.9986575,0.0002778581,0.0003232822,0.0002693998,0.0002128406,0.0002591269],"domain_scores_gemma":[0.9984505,0.0002128423,0.0001014068,0.0009251139,0.0001142832,0.0001958949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001561641,0.0002341944,0.007096041,0.00004627324,0.0000142131,0.000001879388,0.03393582,0.7948065,0.000005579706,0.1450739,0.0003875975,0.01838233],"study_design_scores_gemma":[0.000843367,0.00007060856,0.0002252087,0.00005500207,0.000003667198,0.000004127055,0.0003585591,0.9859885,0.000008133975,0.007260612,0.005022672,0.0001595299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04700414,0.001104604,0.9315165,0.01059734,0.00005767917,0.0004294988,0.000001642263,0.0002627584,0.00902589],"genre_scores_gemma":[0.91528,0.000360436,0.08381725,0.0004187927,0.000009479454,0.00001392876,0.00001731733,0.000006353634,0.00007637685],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8682759,"threshold_uncertainty_score":0.565913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2189191503","doi":"10.1109/trustcom-bigdatase-ispa.2015.563","title":"Similarity Measure Based on Low-Rank Approximation for Highly Scalable Recommender Systems","year":2015,"lang":"en","type":"article","venue":"Trust, Security And Privacy In Computing And Communications","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Collaborative filtering; Recommender system; Scalability; Singular value decomposition; Computer science; Low-rank approximation; Sparse matrix; Similarity (geometry); Matrix decomposition; Computation; Rank (graph theory); Similarity measure; Data mining; Approximation algorithm; Theoretical computer science; Artificial intelligence; Machine learning; Algorithm; Mathematics; Database","authors":[{"name":"Sepideh Seifzadeh","is_ca":true},{"name":"Ali Miri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07831400695735763,"gpt":0.3127641550735404,"spread":0.2344501481161828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002155257,0.0001839561,0.0002980513,0.0001684198,0.0004276075,0.0003657043,0.001030628,0.0001397545,2.83165e-7],"category_scores_gemma":[0.0001385038,0.0001791416,0.00004423162,0.0002898539,0.00006578491,0.0002891056,0.0004958953,0.0003327931,9.742179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007104238,"about_ca_system_score_gemma":0.00007646489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003242836,"about_ca_topic_score_gemma":0.00002427153,"domain_scores_codex":[0.9982852,0.0004907903,0.0004277003,0.0003610598,0.0001833612,0.0002518965],"domain_scores_gemma":[0.9974514,0.0006859408,0.0001764708,0.001387734,0.0001636824,0.0001347971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001562986,0.00209616,0.01422314,0.001166033,0.0001084189,0.000002911734,0.02995385,0.002294715,0.00004640236,0.8169879,0.01495195,0.1180123],"study_design_scores_gemma":[0.0009320542,0.0001483208,0.0004478725,0.0002643111,0.000007462568,0.000006878112,0.0002720559,0.9667645,0.00006575906,0.01728776,0.01357216,0.0002309072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03293982,0.002466694,0.9380915,0.01813286,0.0004146911,0.001673224,0.00002676829,0.0005932755,0.005661133],"genre_scores_gemma":[0.9489473,0.000091373,0.05043388,0.0003624495,0.00003802817,0.0000806408,0.00002677928,0.00001070404,0.000008822759],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9644697,"threshold_uncertainty_score":0.7305183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2188485401","doi":"10.1109/trustcom-bigdatase-ispa.2015.466","title":"CaptureMe: Attacking the User Credential in Mobile Banking Applications","year":2015,"lang":"en","type":"article","venue":"Trust, Security And Privacy In Computing And Communications","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Credential; Password; Computer science; Android (operating system); Mobile banking; Computer security; Optical character recognition; Mobile device; World Wide Web; Artificial intelligence; Operating system; Image (mathematics)","authors":[{"name":"Mohamed El-Serngawy","is_ca":true},{"name":"Chamseddine Talhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05278747971358873,"gpt":0.3240730284279325,"spread":0.2712855487143437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126834,0.0001367688,0.0001881543,0.0001464376,0.0004246139,0.0003711082,0.001716266,0.0000804536,0.000002388627],"category_scores_gemma":[0.00005571101,0.0001228005,0.00003042596,0.000581704,0.0001692546,0.0002808215,0.00134443,0.000446287,0.000006538442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004374761,"about_ca_system_score_gemma":0.00006766432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000402652,"about_ca_topic_score_gemma":0.0004393063,"domain_scores_codex":[0.99843,0.0004178489,0.0004172694,0.0003090094,0.000189734,0.0002362064],"domain_scores_gemma":[0.9978525,0.0003898969,0.0001267816,0.001452193,0.00008125099,0.00009737822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008708476,0.0004818635,0.06889024,0.00007325417,0.00003083651,0.000002979645,0.5596493,0.0001825711,0.00002777963,0.3349354,0.0004055248,0.0353115],"study_design_scores_gemma":[0.001409181,0.00004849285,0.02053563,0.0001894598,0.00001827511,0.00006941177,0.006824566,0.7578491,0.00002296137,0.0609099,0.1516413,0.000481764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240967,0.01500305,0.04571676,0.01010003,0.0002317308,0.001479164,0.00000589443,0.0002534753,0.003113175],"genre_scores_gemma":[0.9966239,0.0003577217,0.002592148,0.0002549314,0.00004303997,0.00009079723,0.000008485381,0.000007305308,0.00002168539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7576665,"threshold_uncertainty_score":0.500766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}