{"id":"W120077073","doi":"10.22215/timreview/700","title":"Cybersecurity Futures: How Can We Regulate Emergent Risks?","year":2013,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Public Safety Canada","keywords":"Futures contract; Computer security; Computer science; Internet privacy; Business; Political science; Law and economics; Sociology; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008615641,0.0002236633,0.0003696242,0.0005236073,0.0008542911,0.00007146024,0.0005490137,0.0001812458,0.001204877],"category_scores_gemma":[0.0002021383,0.0002119039,0.0000814807,0.004535695,0.0004627158,0.0002683327,0.00026842,0.0002873692,0.0002775781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441302,"about_ca_system_score_gemma":0.00003154883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000618653,"about_ca_topic_score_gemma":0.001595713,"domain_scores_codex":[0.9980949,0.0001236989,0.0004594045,0.0004108795,0.0004325953,0.0004785015],"domain_scores_gemma":[0.9986441,0.00001689136,0.0003288063,0.0005262862,0.0004413009,0.00004262276],"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":[4.984108e-7,0.00003303182,0.0002979969,0.0004288864,0.00009130668,0.000003697899,0.0006311527,9.260591e-8,0.000004245559,0.6595715,0.1255777,0.21336],"study_design_scores_gemma":[0.0001399393,0.00001654001,0.0008603174,0.0007052031,0.00008282243,8.03883e-7,0.008505056,9.826369e-7,0.00001320609,0.08387673,0.9055523,0.0002460983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.02254725,0.06879261,0.0002629367,0.8308581,0.0008781638,0.004118969,0.000009245652,0.001377603,0.0711552],"genre_scores_gemma":[0.4609356,0.5230912,0.001052547,0.005708472,0.0001942062,0.0009984965,0.00003945964,0.00002597322,0.007954003],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8251495,"threshold_uncertainty_score":0.9997082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848192037897476,"score_gpt":0.3269465925556802,"score_spread":0.2884646721767055,"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."}}