{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"ec0acd3de6e2","filters":{"venue":"Information and Computer Security"}},"results":[{"id":"W2802409280","doi":"10.1108/ics-06-2017-0042","title":"Strategic value alignment for information security management: a critical success factor analysis","year":2018,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Information security management; Information security; Knowledge management; Critical success factor; Business; Security information and event management; Computer science; Process management; Computer security; Cloud computing security","retraction":null,"screen_n_in":null,"score":{"opus":0.01173512579957517,"gpt":0.2604179343180825,"spread":0.2486828085185074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005180929,0.0002873751,0.0003107417,0.0006331207,0.0004999422,0.001678859,0.0007227814,0.000150562,0.00004590678],"category_scores_gemma":[0.00001320212,0.0002773379,0.0001820075,0.0009472937,0.0001336888,0.01012832,0.0004133453,0.0001619152,0.0001418415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007631598,"about_ca_system_score_gemma":0.00005476996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004677816,"about_ca_topic_score_gemma":0.00001767328,"domain_scores_codex":[0.9977935,0.00007292813,0.0008757788,0.0002406748,0.000558654,0.0004584779],"domain_scores_gemma":[0.9982694,0.00008785746,0.0002838912,0.0005375587,0.0005748544,0.0002463801],"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":[0.00002202547,0.00004560002,0.000129323,0.000178972,0.0001822378,5.157449e-7,0.01238329,0.00002825174,1.529995e-7,0.974041,0.0007317347,0.01225692],"study_design_scores_gemma":[0.001103114,0.0002271751,0.003960182,0.0000214301,0.0001103096,0.00001332834,0.0004104844,0.9078574,0.0001239725,0.03704412,0.04865339,0.0004751394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02284128,0.00001668695,0.9604604,0.0008591844,0.0007884271,0.0006530758,0.0001155675,0.0003407724,0.01392467],"genre_scores_gemma":[0.9805015,0.00002240712,0.01535104,0.003761403,0.0001234491,0.00006486361,0.0001668865,0.000003735367,0.000004702207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9576603,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802849241","doi":"10.1108/ics-09-2017-0066","title":"Escalation of commitment as an antecedent to noncompliance with information security policy","year":2018,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Antecedent (behavioral psychology); Sunk costs; Task (project management); Psychology; Test (biology); Value (mathematics); Perception; Social psychology; Marketing; Business; Economics; Microeconomics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.007027638318797881,"gpt":0.2496018031803612,"spread":0.2425741648615633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004219892,0.000232199,0.000243265,0.0004582461,0.0002675764,0.0005223816,0.0006132753,0.00009890182,0.00001890326],"category_scores_gemma":[0.00001958226,0.0002067739,0.00004347095,0.0007560303,0.0001113983,0.01060308,0.0003464544,0.000154696,0.0002373597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008947053,"about_ca_system_score_gemma":0.0001711354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003448112,"about_ca_topic_score_gemma":0.000082001,"domain_scores_codex":[0.9981614,0.00006755963,0.0007337307,0.0001721903,0.0005651052,0.0003000044],"domain_scores_gemma":[0.9979221,0.00002457629,0.0004026664,0.0005857461,0.0007776848,0.0002872071],"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":[0.0001295703,0.0001329539,0.0006226645,0.000127662,0.00002883002,6.27512e-7,0.094047,0.0001040241,0.00000455867,0.7913321,0.001450285,0.1120197],"study_design_scores_gemma":[0.003136167,0.003708171,0.0413478,0.0001968145,0.00001563015,0.0001801156,0.001222179,0.7826052,0.004037501,0.01753011,0.1449844,0.001035879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2730548,0.000005321041,0.7128881,0.001659376,0.0003272818,0.0006583006,0.00002695121,0.0002524044,0.01112749],"genre_scores_gemma":[0.9798228,0.000008803315,0.01425283,0.005704222,0.000122526,0.00002168538,0.00006037069,0.000003691395,0.000003132968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7825012,"threshold_uncertainty_score":0.8431994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3010823622","doi":"10.1108/ics-11-2018-0128","title":"An activity theory approach to information security non-compliance","year":2020,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Variety (cybernetics); Compliance (psychology); Originality; Field (mathematics); Through-the-lens metering; Value (mathematics); Information security; Task (project management); Computer science; Knowledge management; Psychology; Computer security; Lens (geology); Social psychology; Engineering; Economics; Management; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01400016211137034,"gpt":0.2314187840293697,"spread":0.2174186219179994,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0006265304,0.000311979,0.0003030867,0.00020502,0.0003398277,0.001329332,0.001104554,0.0001504931,0.00001342893],"category_scores_gemma":[0.0000312326,0.000308485,0.00008199415,0.0006882233,0.00005449125,0.01971781,0.0005139465,0.0003863513,0.0004353305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022301,"about_ca_system_score_gemma":0.00009448297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003204906,"about_ca_topic_score_gemma":0.000001630534,"domain_scores_codex":[0.9980574,0.0001337976,0.0006120967,0.0002786554,0.0005180193,0.000400018],"domain_scores_gemma":[0.9981396,0.00003753414,0.0002836526,0.000594622,0.0003148527,0.0006297039],"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":[0.0001140083,0.000161834,0.0001085817,0.0003369864,0.00003026133,8.353337e-7,0.1752261,0.0006077581,0.00001144898,0.5981674,0.005870944,0.2193639],"study_design_scores_gemma":[0.0007260861,0.0002202417,0.005994341,0.00001588715,0.000004919265,0.00002107125,0.0003791212,0.9458249,0.0002857128,0.003540916,0.0425213,0.0004655437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03951544,0.000007067146,0.9424667,0.001573724,0.0003053846,0.0005891389,0.00003143662,0.0005114077,0.01499966],"genre_scores_gemma":[0.9580899,0.000007958854,0.01872081,0.02294229,0.000122505,0.00003793362,0.00007193715,0.000005007587,0.000001619161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9452171,"threshold_uncertainty_score":0.9999367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3192316330","doi":"10.1108/ics-01-2021-0008","title":"How different rewards tend to influence employee non-compliance with information security policies","year":2021,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; Wilfrid Laurier University","funders":"","keywords":"Compliance (psychology); Originality; Perception; Structural equation modeling; Psychology; Business; Affect (linguistics); Value (mathematics); Social psychology; Marketing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.008310339431643974,"gpt":0.2206439809246057,"spread":0.2123336414929618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0002447934,0.0003788773,0.0003662269,0.000311154,0.0003871302,0.002948868,0.0007421271,0.0001376651,0.000008409807],"category_scores_gemma":[0.00004359065,0.0003241333,0.00008145899,0.0008164435,0.00007994874,0.01403772,0.0007485836,0.000350883,0.0001124084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009696059,"about_ca_system_score_gemma":0.0001756318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007925706,"about_ca_topic_score_gemma":0.00008001653,"domain_scores_codex":[0.9977713,0.00006773588,0.0006459386,0.0002693745,0.0007342321,0.0005113748],"domain_scores_gemma":[0.9975238,0.00004691215,0.0003047346,0.0007731789,0.0009682457,0.0003831009],"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":[0.0001607213,0.000299116,0.0122326,0.001416382,0.0002018876,0.00003191045,0.2500873,0.00105,0.00004072859,0.5516022,0.01861421,0.164263],"study_design_scores_gemma":[0.004936443,0.0009971721,0.3214886,0.0006501687,0.00004259855,0.0008422893,0.003182087,0.3264125,0.007737556,0.01042871,0.3203676,0.002914285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.401205,0.00002710984,0.589054,0.005507289,0.0004046701,0.0004775135,0.00004536049,0.0003648002,0.002914309],"genre_scores_gemma":[0.9788535,0.00003726454,0.00955873,0.01131412,0.00007302548,0.00004989766,0.0000869431,0.000006097365,0.00002043216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5794953,"threshold_uncertainty_score":0.9999211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4302307770","doi":"10.1108/ics-07-2022-0122","title":"Limited usefulness of firm-provided cybersecurity information in institutional investors’ investment analysis","year":2022,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business; Finance; Information security; Investment (military); Accounting; Originality; Computer security; Data breach; Qualitative research; Computer science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01000431238479855,"gpt":0.189139915457769,"spread":0.1791356030729704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648769,0.0001605862,0.0002467051,0.001016934,0.0002754134,0.0002272379,0.0002557612,0.00004257767,0.0001434228],"category_scores_gemma":[0.0002890587,0.0001798811,0.00008072709,0.001653875,0.00006176647,0.006255427,0.0006991738,0.0002451679,0.00003103692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281051,"about_ca_system_score_gemma":0.00004551214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577799,"about_ca_topic_score_gemma":0.0001537853,"domain_scores_codex":[0.9984229,0.00003166521,0.000682717,0.0001355937,0.0005374492,0.0001897167],"domain_scores_gemma":[0.9949971,0.00002566133,0.004620327,0.0001913214,0.0001461998,0.00001942134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001562143,0.0003203554,0.1931141,0.001003251,0.0003591136,0.000007056384,0.01673037,0.07824714,0.000002101902,0.641008,0.008737898,0.06031434],"study_design_scores_gemma":[0.001197246,0.00002453476,0.2306364,0.00002301422,0.00008240823,0.000002062999,0.0007072613,0.3799703,0.000005897145,0.002484105,0.3845791,0.0002876401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181988,0.00001648721,0.0774352,0.0003236507,0.000288267,0.0003704345,0.00002843499,0.00009077441,0.003247957],"genre_scores_gemma":[0.993078,0.000004863244,0.0002489766,0.006075098,0.00006861637,0.00005803994,0.0004578962,0.000003524066,0.00000496612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385239,"threshold_uncertainty_score":0.7335338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3150373948","doi":"10.1108/ics-05-2020-0069","title":"Users’ attitude on perceived security of enterprise systems mobility: an empirical study","year":2021,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Flexibility (engineering); Computer security; Computer science; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.0626689277763336,"gpt":0.3721761698104907,"spread":0.3095072420341571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131979,0.000150208,0.0003374555,0.0002470203,0.0001310595,0.0003244774,0.0003966146,0.0001474564,0.00007238255],"category_scores_gemma":[0.0001308027,0.0001222535,0.00007692932,0.0003867458,0.00009158919,0.00107629,0.000261873,0.0002644695,0.00006524497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953605,"about_ca_system_score_gemma":0.00006369536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004519102,"about_ca_topic_score_gemma":0.00006769334,"domain_scores_codex":[0.9975535,0.0003754949,0.0008438,0.0003036548,0.0007688021,0.0001547922],"domain_scores_gemma":[0.9981841,0.0001566189,0.0002548279,0.0007138279,0.0005539383,0.0001367261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009205515,0.002103214,0.9226534,0.00002919333,0.00003707626,0.00001887298,0.06115961,0.0001360049,0.000008390012,0.002253066,0.002009705,0.009499434],"study_design_scores_gemma":[0.0009754801,0.0004823226,0.9463049,0.00001873481,0.00001323112,0.00003136151,0.01032179,0.03633535,0.00003061105,0.001183568,0.004141149,0.0001615356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950626,0.0000203332,0.003613653,0.0002178494,0.0004581722,0.0003039837,0.00003371829,0.0001080809,0.0001816015],"genre_scores_gemma":[0.9992498,0.00000700336,0.0001562941,0.0005167472,0.00002788887,0.00001100279,0.00001621196,0.000003040745,0.00001199818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05083782,"threshold_uncertainty_score":0.4985353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2177713545","doi":"10.1108/ics-08-2014-0058","title":"User-centred authentication feature framework","year":2015,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Authentication (law); Password; Usability; Multi-factor authentication; Authentication protocol; Lightweight Extensible Authentication Protocol; Feature (linguistics); Computer security; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.01570247174890433,"gpt":0.2330360205707801,"spread":0.2173335488218758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002496857,0.000139249,0.0001443368,0.0001338376,0.0001072772,0.0007160422,0.0005113777,0.0001257978,0.000005586712],"category_scores_gemma":[0.00003927082,0.0001298899,0.00004213063,0.000306814,0.00003275904,0.002324718,0.0002345975,0.0001762075,0.0002438641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003753968,"about_ca_system_score_gemma":0.00006849346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490365,"about_ca_topic_score_gemma":0.0000026226,"domain_scores_codex":[0.9988834,0.00007762476,0.0003039145,0.0001809877,0.0003585767,0.0001954542],"domain_scores_gemma":[0.9988226,0.00003974899,0.0001551025,0.0004795467,0.0002459033,0.0002571418],"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":[0.000008984199,0.00007623893,0.001004195,0.00005121606,0.00002344883,0.000001419004,0.2279111,0.0000046206,0.000001549878,0.7208228,0.02655954,0.02353496],"study_design_scores_gemma":[0.0006220164,0.00005847585,0.003466847,0.00003752204,0.000006306092,0.00004077627,0.0004479987,0.6724027,0.0000437242,0.02882912,0.2937867,0.0002577519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03457089,0.0002030461,0.956614,0.005327066,0.001358344,0.0003374988,0.000006426964,0.0004852747,0.001097427],"genre_scores_gemma":[0.9818261,0.00001540453,0.01598561,0.001957433,0.0001152405,0.0000121127,0.00002924615,0.000003803266,0.00005508972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472552,"threshold_uncertainty_score":0.6904811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3189334277","doi":"10.1108/ics-08-2020-0134","title":"A look into user’s privacy perceptions and data practices of IoT devices","year":2021,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Internet privacy; Notice; Computer science; Information privacy; Transparency (behavior); Originality; Computer security; Data sharing; Perception; Data collection; Entertainment; Internet of Things; Social media; Privacy by Design; World Wide Web; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.04276755770544875,"gpt":0.3458011248069428,"spread":0.303033567101494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006024571,0.00007359596,0.000114384,0.00006505546,0.0003993314,0.0003483257,0.0003537092,0.00007784144,0.00005317682],"category_scores_gemma":[0.0004092411,0.00007511344,0.00001567891,0.0001782251,0.0001425988,0.003579948,0.000963504,0.0001227073,0.00001152691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001771089,"about_ca_system_score_gemma":0.0001641134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411243,"about_ca_topic_score_gemma":0.003108266,"domain_scores_codex":[0.9991025,0.0001518031,0.0002548615,0.0001549741,0.0002220329,0.0001138122],"domain_scores_gemma":[0.9989606,0.00008818976,0.0002890495,0.0003898313,0.0001850921,0.0000872826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007290879,0.0003933694,0.04878032,0.001069867,0.0001333291,0.000005545473,0.4508742,0.0000044449,0.00005960988,0.1593204,0.02107054,0.3182155],"study_design_scores_gemma":[0.0006530994,0.00007007021,0.04569025,0.00008227524,0.00004413706,0.00002451999,0.01729607,0.01612203,0.00006582661,0.0130872,0.9065865,0.0002780258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664873,0.0007573277,0.02309934,0.005782258,0.000402279,0.0003547221,0.0001082782,0.0001106997,0.002897714],"genre_scores_gemma":[0.9908369,0.0008665169,0.007359089,0.0005958533,0.0001609402,0.000004409202,0.000166394,0.000002197884,0.000007712646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.885516,"threshold_uncertainty_score":0.3645094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408821710","doi":"10.1108/ics-09-2024-0235","title":"AI skills in cybersecurity: global job trends analysis","year":2025,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer security; Computer science; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.002853282849646138,"gpt":0.2304207087017508,"spread":0.2275674258521047,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003288921,0.0001608094,0.0002570583,0.0007749185,0.0001434154,0.0004991138,0.0004180485,0.0001322669,0.00002429113],"category_scores_gemma":[0.000008154487,0.000162935,0.0001155122,0.003712061,0.00004128412,0.002407222,0.0003837021,0.0002242911,0.0000189419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009781658,"about_ca_system_score_gemma":0.00004632344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002605123,"about_ca_topic_score_gemma":0.00061848,"domain_scores_codex":[0.9987209,0.00008645345,0.0004813009,0.0002423101,0.0002226175,0.000246452],"domain_scores_gemma":[0.9993198,0.00003441978,0.0001031836,0.0003581445,0.0001001681,0.00008426431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001432696,0.00009414733,0.01187711,0.00002947096,0.0001207824,0.000004001105,0.003152371,0.0006702159,1.843246e-7,0.4126909,0.006511251,0.5648353],"study_design_scores_gemma":[0.000632124,0.00004531092,0.1214317,0.00002550884,0.00003020807,0.000008017142,0.00002079352,0.7948278,0.00001440027,0.02415419,0.05860288,0.0002071097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09084174,0.0001422626,0.8925388,0.003144528,0.0009271091,0.0001390768,0.00001145778,0.0002674696,0.0119875],"genre_scores_gemma":[0.9905033,0.00006654931,0.002387927,0.006942216,0.00004404032,0.000009940576,0.00001807501,0.000001212583,0.00002680713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8996615,"threshold_uncertainty_score":0.6644295,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02845977429873536,"gpt":0.2826263264477757,"spread":0.2541665521490403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007245291,0.0002536381,0.0003881406,0.0003156958,0.0003508968,0.0002318429,0.001289951,0.00009220991,0.00005637342],"category_scores_gemma":[0.00005339237,0.0002796048,0.0001091695,0.0007489956,0.0001112107,0.001820677,0.001958489,0.0006671421,0.00002475302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091731,"about_ca_system_score_gemma":0.0001384709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202553,"about_ca_topic_score_gemma":0.0001583899,"domain_scores_codex":[0.9973621,0.0003645926,0.0008122273,0.0003884704,0.0007135247,0.0003591324],"domain_scores_gemma":[0.9982406,0.0003639238,0.0003336025,0.000802969,0.00009368276,0.0001651759],"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":[0.0002778905,0.001943639,0.09974656,0.0002922357,0.0001417069,0.0000447604,0.790063,0.02125069,0.00005359334,0.03876086,0.02485698,0.02256811],"study_design_scores_gemma":[0.0009838231,0.000429279,0.2448254,0.0001044334,0.000008054572,0.0000239589,0.0006809097,0.7427945,0.00003780231,0.002468316,0.007275062,0.0003684352],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569603,0.0001010267,0.04054165,0.0007501833,0.0007577378,0.0004627123,0.0001692175,0.0001638546,0.00009331173],"genre_scores_gemma":[0.9952661,0.0000393231,0.003197506,0.0012706,0.00008057744,0.00002871463,0.0001097992,0.000006296458,0.000001119579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.789382,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2553846793","doi":"10.1108/ics-04-2016-0030","title":"Assessing IT disaster recovery plans","year":2016,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Audit; Preparedness; Documentation; Software deployment; Business; Operations management; Accounting; Public relations; Political science; Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01568029080027097,"gpt":0.2793729313175592,"spread":0.2636926405172882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002237134,0.00004862841,0.00005137653,0.00004588833,0.0001981427,0.000468173,0.0001077201,0.00003261392,0.00008090385],"category_scores_gemma":[0.00001130988,0.00003267069,0.00001936455,0.00006275226,0.00009228493,0.0038784,0.00006647255,0.00002717694,0.00009896994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640154,"about_ca_system_score_gemma":0.00002008175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004330352,"about_ca_topic_score_gemma":0.0001206248,"domain_scores_codex":[0.9994736,0.00004097475,0.000132927,0.00006066409,0.0001628347,0.0001289536],"domain_scores_gemma":[0.9997508,0.000044643,0.00005515102,0.00006634068,0.00002823688,0.00005484452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008991261,0.00001970982,0.003909316,0.00002456485,0.00001015895,9.222371e-7,0.046277,0.000002032021,0.000001947284,0.06571706,0.02110801,0.8629203],"study_design_scores_gemma":[0.0003491789,0.00002748253,0.01322227,0.00007953168,0.000004707558,0.000001017992,0.006417308,0.0008341382,0.000005527488,0.005116542,0.9737812,0.000161065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5362668,0.00001447613,0.1319613,0.008082283,0.001185606,0.0002274951,0.00001108611,0.0001498166,0.3221011],"genre_scores_gemma":[0.9976037,0.0000618779,0.0002372637,0.001554174,0.0001349813,0.000002423312,0.000003085638,0.00000122,0.0004012511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9526732,"threshold_uncertainty_score":0.4514603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224307225","doi":"10.1108/ics-07-2021-0097","title":"Utility indicator for emotion detection in a speaker authentication system","year":2022,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Confusion matrix; Confusion; Classifier (UML); Computer science; Nothing; Value (mathematics); Set (abstract data type); Authentication (law); Artificial intelligence; Speech recognition; Natural language processing; Pattern recognition (psychology); Machine learning; Psychology; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.007529945309995374,"gpt":0.2124475364289966,"spread":0.2049175911190012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004633566,0.0000710038,0.00008605727,0.0001862218,0.000266459,0.0001918656,0.0001979322,0.00002930613,0.000003790038],"category_scores_gemma":[0.000007205082,0.00007612235,0.00002765818,0.0002610297,0.00001158988,0.001334839,0.0001701144,0.0001071555,0.000005802878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007697643,"about_ca_system_score_gemma":0.00003854078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000125497,"about_ca_topic_score_gemma":0.000005862469,"domain_scores_codex":[0.9992252,0.00005260466,0.0002758556,0.0001406158,0.0001744463,0.0001312764],"domain_scores_gemma":[0.9995878,0.00002271137,0.0001519901,0.0001519496,0.00004338063,0.00004212594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004110801,0.00009420754,0.001996082,0.0003420494,0.000009840254,0.000001053339,0.01995016,0.0001096362,0.00007845745,0.01946335,0.0002427746,0.9576713],"study_design_scores_gemma":[0.0006271616,0.00007669281,0.01909475,0.00001346177,0.000002561408,0.00003619842,0.0004188427,0.966966,0.001920019,0.001827173,0.008894119,0.0001230231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2731018,0.00001791157,0.7259568,0.0001564107,0.0003016441,0.0002388588,0.000005046694,0.0001139923,0.0001075225],"genre_scores_gemma":[0.9930682,0.000001142368,0.006562856,0.0002578359,0.00003265834,0.00005446,0.00001940707,0.000001788609,0.000001616665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9668564,"threshold_uncertainty_score":0.3104179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}