{"id":"W4200128208","doi":"10.1093/oxfordhb/9780198800682.013.56","title":"Cybersecurity, Human Rights, and Empiricism","year":2021,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sophistication; Human rights; Political science; Securitization; Democracy; Fundamental rights; State (computer science); Computer security; Law and economics; Law; Sociology; Business; Computer science; Politics; Social science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001715245,0.0001935325,0.0002160175,0.0001037451,0.001311116,0.0001120759,0.0002984096,0.0002937232,0.000133591],"category_scores_gemma":[0.000007810236,0.0002313661,0.00009104594,0.000007825171,0.0004435663,0.0001540154,0.0003773006,0.0003992357,0.000002197369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107768,"about_ca_system_score_gemma":0.00006472303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941736,"about_ca_topic_score_gemma":0.00332315,"domain_scores_codex":[0.9988936,0.00009631064,0.0001131143,0.0003954156,0.0002870802,0.0002145144],"domain_scores_gemma":[0.9992926,0.00003622399,0.000131914,0.0002685249,0.0001124536,0.0001583287],"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":[0.00001432073,0.000006123346,9.814676e-7,0.00004897978,0.00004106029,0.0003147447,0.002041325,6.261581e-8,0.000005817694,0.9923037,0.003101605,0.002121269],"study_design_scores_gemma":[0.0001655765,0.00003471254,0.000005099314,0.0001183654,0.0002673572,0.000004115363,0.0006405679,5.863228e-7,0.00001199681,0.003192275,0.9952926,0.000266765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005235946,0.0001065786,0.0000634767,0.00003046071,0.0001485856,0.0002210363,0.00006980108,0.0001000448,0.9987364],"genre_scores_gemma":[0.001458953,0.0003302602,0.00009676713,0.00004704396,0.0002614523,2.294149e-7,0.00004933591,0.00001901482,0.9977369],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.992191,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05288598532866422,"score_gpt":0.2705064556041432,"score_spread":0.2176204702754789,"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."}}