{"id":"W2078000226","doi":"10.7202/045698ar","title":"Technological Self-Help and Equality in Cyberspace","year":2011,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cyberspace; Harm; Law and economics; Context (archaeology); Proportionality (law); Function (biology); Inequality; Political science; Law; Sociology; The Internet; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009151394,0.0004719761,0.0006256403,0.002385715,0.01116258,0.0152908,0.001701335,0.007250744,0.005919652],"category_scores_gemma":[0.01297171,0.000347122,0.0007358449,0.00174289,0.09051974,0.01921651,0.01950634,0.005969475,0.000557086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007405614,"about_ca_system_score_gemma":0.005084208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003583098,"about_ca_topic_score_gemma":0.003030187,"domain_scores_codex":[0.9834488,0.01001891,0.0006153138,0.001421813,0.002742075,0.001753184],"domain_scores_gemma":[0.9891344,0.00690718,0.001147028,0.001421007,0.000696374,0.000693981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002209195,0.000004792274,0.00009562427,0.00001492229,0.000001390158,0.0000362278,0.003320123,0.0001318386,0.00002685938,0.9938509,0.0002488512,0.002266208],"study_design_scores_gemma":[0.00001029974,0.00002768292,0.0006328445,0.000313781,0.00000633012,0.0001616992,0.00722584,0.0003667921,0.000310637,0.9245143,0.06640518,0.00002465729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08546803,0.008809067,0.03955207,0.04346502,0.0006355292,0.00008771828,0.00003167914,0.00006722471,0.8218836],"genre_scores_gemma":[0.9842438,0.001461722,0.002426813,0.002143836,0.0001550764,0.00006482105,0.000008755124,0.00001880535,0.009476401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9888374,"threshold_uncertainty_score":0.05373168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05209584677342662,"score_gpt":0.297116010147144,"score_spread":0.2450201633737174,"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."}}