{"meta":{"query_hash":"abc05b80818c","filters":{"venue":"Information Security Journal A Global Perspective"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/abc05b80818c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Information+Security+Journal+A+Global+Perspective"},"results":[{"id":"W2106397303","doi":"10.1080/19393555.2010.493598","title":"SSH-Based Device Identity and Trust Initialization","year":2010,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Initialization; Computer science; Protocol (science); Key (lock); Trust anchor; Identity (music); Computer security; Identification (biology); Computer network; Channel (broadcasting); Computational trust; Physics; Political science","score_opus":0.007797852146642447,"score_gpt":0.26506710364989655,"score_spread":0.2572692515032541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106397303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92901844,0.00041139257,0.041344956,0.0004316793,0.002722536,0.000486109,0.00014702814,0.00039928817,0.025038553],"genre_scores_gemma":[0.9986217,0.00006549921,0.0005048244,0.00037755558,0.00038634436,0.000009166472,0.000022889026,0.00001125106,7.9481606e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983549,0.000067587505,0.00053192885,0.00013925321,0.0005086994,0.00039762215],"domain_scores_gemma":[0.9984497,0.00004656096,0.0001931492,0.0001986537,0.0008254524,0.00028649028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00075407577,0.0002499674,0.0002498923,0.00014721259,0.00029668136,0.00065339654,0.00023232795,0.0002305547,0.00015511195],"category_scores_gemma":[0.0003283108,0.00026333338,0.000106575295,0.00050835626,0.00013322708,0.0052134916,0.000057507303,0.0008641976,0.00006309873],"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":[0.00080784253,0.0005720348,0.037166517,0.0007883069,0.0007026866,0.00007699936,0.06471885,0.02864335,0.00036065368,0.8447066,0.008502643,0.012953554],"study_design_scores_gemma":[0.008916844,0.0003595144,0.105837286,0.00020112685,0.0003475739,0.0018402801,0.01971646,0.56671816,0.0011214392,0.24645957,0.04624225,0.0022395202],"about_ca_topic_score_codex":0.00020895238,"about_ca_topic_score_gemma":0.000977985,"teacher_disagreement_score":0.598247,"about_ca_system_score_codex":0.0010449392,"about_ca_system_score_gemma":0.00012018865,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W2160648147","doi":"10.1080/19393550802036631","title":"An Overview of Transnational Organized Cyber Crime","year":2008,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada)","funders":"","keywords":"Cyber crime; Situational ethics; Organised crime; Cover (algebra); Environmental crime; Computer security; Criminology; Political science; Sociology; Computer science; Law; Engineering; The Internet; World Wide Web","score_opus":0.036889810889938784,"score_gpt":0.3217203634161695,"score_spread":0.2848305525262307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160648147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3195547,0.0030283867,0.39097485,0.013339929,0.0014893729,0.0009821242,0.00023585238,0.00047047625,0.2699243],"genre_scores_gemma":[0.9968055,0.0002307443,0.0022342387,0.00066118664,0.000052605756,0.0000023148775,0.00000503563,0.0000021487476,0.0000062468707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846673,0.00006502372,0.00050043483,0.000111177884,0.0006597387,0.00019690381],"domain_scores_gemma":[0.99805397,0.000025548794,0.00025318656,0.000191735,0.0013527275,0.00012282649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002792444,0.00013965557,0.00021638238,0.00010440049,0.0003541169,0.0001026093,0.0004986666,0.000051452116,0.00013472738],"category_scores_gemma":[0.00005376095,0.00012220735,0.00013177328,0.00052434334,0.00008926309,0.005076189,0.00006676237,0.00017110821,0.000033446693],"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":[0.000024096673,0.000087957436,0.0002076459,0.000006811738,0.000063639076,0.0000048202905,0.022360353,0.000055030276,0.000014046315,0.97553587,0.0013189678,0.00032077817],"study_design_scores_gemma":[0.0098084435,0.0016632449,0.3263601,0.00010991958,0.00013461047,0.005907958,0.027485192,0.011492457,0.0027380984,0.55929625,0.053367943,0.0016357526],"about_ca_topic_score_codex":0.0001490893,"about_ca_topic_score_gemma":0.000015195676,"teacher_disagreement_score":0.6772508,"about_ca_system_score_codex":0.0003837782,"about_ca_system_score_gemma":0.00022583862,"threshold_uncertainty_score":0.4983471},"labels":[],"label_agreement":null},{"id":"W2938979448","doi":"10.1080/19393555.2019.1606368","title":"A comprehensive keyword analysis of online privacy policies","year":2018,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","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 Guelph","funders":"","keywords":"Privacy policy; Latent Dirichlet allocation; Readability; Topic model; Internet privacy; Computer science; Variety (cybernetics); Content analysis; Information privacy; Information retrieval; Artificial intelligence","score_opus":0.03059241374104238,"score_gpt":0.3632653619376475,"score_spread":0.33267294819660514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938979448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9127855,0.00040238092,0.007027919,0.010794745,0.0006776056,0.00055753946,0.0012489576,0.00015033357,0.066355065],"genre_scores_gemma":[0.99780273,0.00032160466,0.00061283837,0.000646336,0.0005609848,0.0000027104534,0.00004027003,0.000002958878,0.000009564118],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9977966,0.00027044633,0.0006006149,0.00013838617,0.00083290297,0.0003610281],"domain_scores_gemma":[0.9953507,0.00006938183,0.00067359325,0.00027235618,0.0034086935,0.00022524866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579696,0.00016025816,0.0003610979,0.0005428729,0.00088135956,0.00028880147,0.0006505754,0.00014315883,0.00027281616],"category_scores_gemma":[0.0014497839,0.00015363503,0.00027738296,0.0027996146,0.0006923475,0.0029916288,0.00024329296,0.00030579205,0.00005572583],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004748493,0.00043622285,0.006678821,0.000026249814,0.0019848796,0.0000041104668,0.57492703,0.00006444574,0.000024403527,0.40014297,0.011523998,0.003712036],"study_design_scores_gemma":[0.00132591,0.00051260745,0.122528315,0.00005860475,0.0007716407,0.000053642507,0.41345784,0.0017636751,0.00008584683,0.18150264,0.27742726,0.000512012],"about_ca_topic_score_codex":0.014223217,"about_ca_topic_score_gemma":0.0042197807,"teacher_disagreement_score":0.26590326,"about_ca_system_score_codex":0.0011294183,"about_ca_system_score_gemma":0.00043679826,"threshold_uncertainty_score":0.99234116},"labels":[],"label_agreement":null},{"id":"W4401481361","doi":"10.1080/19393555.2024.2387347","title":"“The pull to do nothing would be strong”: limitations &amp; opportunities in reporting insider threats","year":2024,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"Information and Cyber Security","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":"Nothing; Insider; Computer science; Computer security; Internet privacy; Business; Political science; Law; Philosophy","score_opus":0.11295442994455698,"score_gpt":0.3534731457812363,"score_spread":0.2405187158366793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401481361","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050625637,0.0023762283,0.31103984,0.21451588,0.0044644214,0.0012294006,0.00011431813,0.0007687649,0.41486552],"genre_scores_gemma":[0.9916873,0.0002585576,0.0031293633,0.004660104,0.00013682508,0.00002786653,0.000009121286,0.0000061806377,0.00008467555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99685776,0.000098211975,0.0015536998,0.00018705441,0.0008387618,0.000464523],"domain_scores_gemma":[0.997463,0.00017907051,0.0007073743,0.00034096368,0.0010574375,0.00025216592],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00208752,0.00021919247,0.00020855524,0.00038082837,0.0007689377,0.004530548,0.0006468742,0.0001480054,0.000019812296],"category_scores_gemma":[0.0013728533,0.00017570367,0.00016415546,0.0011119193,0.000066730354,0.009795371,0.00025603408,0.0010780338,0.00016363958],"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":[0.0000125143515,0.000016631322,0.000042977084,0.000010710368,0.00003296075,0.000028689312,0.18463756,0.0004205819,5.2722385e-7,0.7887519,0.004616187,0.021428734],"study_design_scores_gemma":[0.00052909926,0.0001185813,0.003169917,0.0002798438,0.000018819246,0.0019772416,0.16953471,0.021751521,0.000018746647,0.22559638,0.5763946,0.000610536],"about_ca_topic_score_codex":0.00018934357,"about_ca_topic_score_gemma":0.0005737124,"teacher_disagreement_score":0.9410617,"about_ca_system_score_codex":0.0014728893,"about_ca_system_score_gemma":0.0006209198,"threshold_uncertainty_score":0.9965028},"labels":[],"label_agreement":null},{"id":"W4403693247","doi":"10.1080/19393555.2024.2419116","title":"SPGDAD: Slow HTTP-Get denial of service attack detection using ontology","year":2024,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":6,"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":"Denial-of-service attack; Computer science; Ontology; Computer security; World Wide Web; Service (business); The Internet","score_opus":0.01832414006445404,"score_gpt":0.29459050405951615,"score_spread":0.2762663639950621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403693247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41929248,0.00067086704,0.56958646,0.002157127,0.003419826,0.00023764683,0.000023453931,0.00023298743,0.004379153],"genre_scores_gemma":[0.99569243,0.00006526945,0.00321538,0.0006003591,0.0004148137,0.0000019640931,0.0000017077499,0.000005009255,0.0000030569477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801874,0.00016172876,0.00067208667,0.00022465241,0.0005930641,0.0003297093],"domain_scores_gemma":[0.99798715,0.000058565794,0.00036022745,0.00023305301,0.0012028663,0.00015810989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005672955,0.0002100849,0.0002605846,0.0003202969,0.00032664192,0.0006349315,0.0005101623,0.0002069446,0.000040452112],"category_scores_gemma":[0.00009034262,0.0002004273,0.00019571336,0.0015845307,0.000065679225,0.00592052,0.00018765246,0.00061025197,0.00010571398],"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":[0.00079430186,0.00033769547,0.00017139793,0.00056473823,0.00094619085,0.00027366474,0.1801452,0.023775414,0.0012127162,0.5757317,0.0046235444,0.21142344],"study_design_scores_gemma":[0.0005981265,0.00033389564,0.0002627948,0.00016119432,0.000045707875,0.006325908,0.005819592,0.8979617,0.00091551605,0.07400819,0.013245649,0.00032174643],"about_ca_topic_score_codex":0.0014534952,"about_ca_topic_score_gemma":0.00061264983,"teacher_disagreement_score":0.8741863,"about_ca_system_score_codex":0.0012259833,"about_ca_system_score_gemma":0.000325777,"threshold_uncertainty_score":0.8173188},"labels":[],"label_agreement":null},{"id":"W4408639493","doi":"10.1080/19393555.2025.2479027","title":"Exploring the role of behavioral analytics and anomaly detection in securing mobile networks for critical infrastructure","year":2025,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"Network Security and Intrusion Detection","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":"Horizon College and Seminary","funders":"","keywords":"Anomaly detection; Computer science; Analytics; Computer security; Critical infrastructure; Data science; Internet privacy; Data mining","score_opus":0.013061977425018178,"score_gpt":0.2801184765966993,"score_spread":0.2670564991716811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408639493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5929808,0.0006409263,0.40374398,0.00034857818,0.0007925847,0.00042482535,0.000012509403,0.00004214759,0.0010136423],"genre_scores_gemma":[0.9987896,0.00016346827,0.0008233077,0.00009449326,0.000086712054,0.00003920011,7.134238e-7,0.0000020704372,4.4342127e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988238,0.000079941834,0.0004843973,0.00014344793,0.0002213913,0.00024698116],"domain_scores_gemma":[0.99889255,0.0001290446,0.00019041101,0.00015891985,0.0005624368,0.0000666532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004836143,0.00013597579,0.00018754987,0.00022678271,0.00034570758,0.00033360088,0.00031098805,0.00009054364,0.0000024458698],"category_scores_gemma":[0.00012257767,0.00011439974,0.00009709364,0.0008860691,0.00009875759,0.0033209098,0.00016460688,0.00045088417,4.506361e-7],"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":[0.00035701672,0.0001476857,0.0019115703,0.000059582973,0.00008578393,0.000003570469,0.04051568,0.04245119,0.000058218455,0.6618776,0.00008822187,0.2524439],"study_design_scores_gemma":[0.00083504966,0.00042311978,0.015740827,0.00012160998,0.000040975006,0.00018233097,0.027251797,0.68698955,0.00096344866,0.26476136,0.0024702225,0.00021972685],"about_ca_topic_score_codex":0.00019950463,"about_ca_topic_score_gemma":0.00020098766,"teacher_disagreement_score":0.64453834,"about_ca_system_score_codex":0.00047068685,"about_ca_system_score_gemma":0.00007867924,"threshold_uncertainty_score":0.4665086},"labels":[],"label_agreement":null},{"id":"W4410020352","doi":"10.1080/19393555.2025.2498466","title":"Vulnerability scoring metric of CVSS needs to be adjusted per each product: our analysis on Linux and Apache","year":2025,"lang":"en","type":"article","venue":"Information Security Journal A Global Perspective","topic":"Advanced Malware Detection Techniques","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":"Polytechnique Montréal","funders":"","keywords":"Computer science; Metric (unit); Vulnerability (computing); Product metric; Product (mathematics); Operating system; Computer security; Metric space; Operations management; Mathematics; Discrete mathematics","score_opus":0.015651763916286247,"score_gpt":0.320832740886857,"score_spread":0.3051809769705707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410020352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13766229,0.00015910748,0.84770936,0.007387076,0.00028188928,0.0004782159,0.000035090845,0.00021347424,0.006073501],"genre_scores_gemma":[0.98577523,0.000024267069,0.013464097,0.0006680018,0.000038258288,0.0000143282095,0.0000013128414,0.0000023379466,0.00001214989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981952,0.00014085647,0.00060451264,0.00025719535,0.0005541166,0.00024814854],"domain_scores_gemma":[0.9971775,0.00006318094,0.0003811335,0.00042969064,0.0017868404,0.00016169065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009550878,0.00019911167,0.0003708079,0.0018899043,0.00024743655,0.00027292245,0.00049514056,0.00008116923,0.000004308941],"category_scores_gemma":[0.0009628369,0.0001830364,0.00017296622,0.0071223015,0.000039525275,0.0024123073,0.0002642336,0.00046674302,0.0000046997397],"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":[0.00080113765,0.0007748875,0.012901598,0.00024053523,0.0022867643,0.000010662971,0.10062044,0.023932451,0.00029173162,0.7230537,0.0029868295,0.13209927],"study_design_scores_gemma":[0.005815086,0.004236469,0.3745808,0.0005865798,0.0016405911,0.00075189717,0.18357472,0.07105393,0.08013395,0.258356,0.01596152,0.0033084478],"about_ca_topic_score_codex":0.00027660516,"about_ca_topic_score_gemma":0.00005019757,"teacher_disagreement_score":0.84811294,"about_ca_system_score_codex":0.0012290496,"about_ca_system_score_gemma":0.00014670858,"threshold_uncertainty_score":0.7464008},"labels":[],"label_agreement":null}]}