{"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,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Variety (cybernetics); Computer security; Internet privacy; Trustworthiness; Internet of Things; Information privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002466596,0.0002778742,0.0003492794,0.000192326,0.0001786864,0.0005802682,0.000536349,0.0001991181,0.000003880256],"category_scores_gemma":[0.00000720717,0.0002687133,0.00004290357,0.0005172241,0.00003513826,0.0006959569,0.0006241276,0.0002694162,0.00001058261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004156286,"about_ca_system_score_gemma":0.0000360773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000038689,"about_ca_topic_score_gemma":0.0002210356,"domain_scores_codex":[0.997896,0.0002428881,0.0004133041,0.0008436166,0.0003069913,0.0002972417],"domain_scores_gemma":[0.9989776,0.00003353813,0.0001193325,0.0005475177,0.00007475573,0.0002472519],"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":[0.00001617396,0.0002029986,0.001619576,0.0005110042,0.0001146665,0.0001221294,0.07703657,0.0006395116,0.0002724151,0.4091827,0.3341767,0.1761056],"study_design_scores_gemma":[0.0006497023,0.0001055237,0.006325559,0.00002419851,0.000006913192,0.0001106646,0.0002208908,0.3818317,0.00001261539,0.00002522447,0.6103659,0.0003211228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06728569,0.119779,0.4009669,0.3394997,0.0689671,0.001480871,0.0001945588,0.001099892,0.0007262353],"genre_scores_gemma":[0.7163158,0.006441799,0.03841391,0.004012966,0.234207,0.0001416522,0.0003056807,0.00007625284,0.00008496336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6490301,"threshold_uncertainty_score":0.9999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460049182,"score_gpt":0.2374480905884734,"score_spread":0.2028475987684734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}