{"id":"W2144520734","doi":"10.29173/irie256","title":"The Ethics of Tracing Hacker Attacks through the Machines of InnocentPersons","year":2004,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hacker; Trespass; Prima facie; Internet privacy; Computer security; Variety (cybernetics); Tort; Human enhancement; Property (philosophy); Recklessness; Law and economics; Law; Business; Political science; Liability; Sociology; Computer science; Epistemology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01275924,0.00008767554,0.0001817472,0.00002717661,0.0008729984,0.00007805126,0.001054857,0.0001952713,0.00003844182],"category_scores_gemma":[0.0261538,0.00004388805,0.000171309,0.0002994748,0.001364566,0.0008554436,0.00009238918,0.001289386,0.000008121069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000766435,"about_ca_system_score_gemma":0.001112192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026871,"about_ca_topic_score_gemma":0.001233222,"domain_scores_codex":[0.9968327,0.0004447027,0.0008220227,0.00004951732,0.001710733,0.0001403828],"domain_scores_gemma":[0.9918711,0.004059174,0.001032336,0.0002359004,0.002776441,0.00002510003],"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":[0.000006795358,0.00001272183,0.00002638051,0.0004667321,0.00004797594,3.080851e-8,0.1378088,0.0001351141,0.000007182444,0.8581352,0.0006509499,0.002702211],"study_design_scores_gemma":[0.0004871062,0.00007973582,0.001051408,0.009749326,0.0001045254,0.000003750878,0.05701518,0.0001318823,0.0007441791,0.4270703,0.5033295,0.0002330767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00366317,0.00642732,0.003281305,0.8945886,0.0008455372,0.0005883161,0.00006170767,0.00001759938,0.09052643],"genre_scores_gemma":[0.8094736,0.1688564,0.000446181,0.02092768,0.0001361758,0.00001069845,0.00001604714,0.000006409091,0.0001268343],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8736609,"threshold_uncertainty_score":0.9820493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091068059127193,"score_gpt":0.4502734886042332,"score_spread":0.3592054294770402,"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."}}