{"id":"W4242243584","doi":"10.1017/cbo9781107278721","title":"Regulating Speech in Cyberspace","year":2015,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Corporate Law and Human Rights","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cyberspace; The Internet; Internet governance; Corporate governance; Human rights; Government (linguistics); Free speech; Internet privacy; State (computer science); Business; Public relations; Information flow; Political science; Legal aspects of computing; Law; Computer science; World Wide Web","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":[0.000225752,0.0003947566,0.0004753785,0.000493977,0.0001710412,0.0002161499,0.0005887193,0.0003370029,0.000009439306],"category_scores_gemma":[0.00000820273,0.0004522944,0.0001403557,0.00004419613,0.0001471238,0.0004771762,0.0006217585,0.0004979917,0.000120293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576225,"about_ca_system_score_gemma":0.0002168073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057467,"about_ca_topic_score_gemma":0.0002536697,"domain_scores_codex":[0.9984608,0.00001639192,0.0002162378,0.0005524039,0.0003737005,0.0003805045],"domain_scores_gemma":[0.9987314,0.00002767718,0.0004032995,0.0005091184,0.0002917637,0.00003675286],"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":[0.00004711343,0.00001026307,0.00001485938,0.0001454667,0.00002114018,0.0004744616,0.00001749425,0.000004853931,0.000003988465,0.6477664,0.3511368,0.0003571325],"study_design_scores_gemma":[0.0008643682,0.00000592164,0.0000513823,0.0002837665,0.0001153247,0.000004045387,0.00004671272,0.0002146023,0.00001010792,0.0009731092,0.996882,0.0005487055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004224232,0.00005117656,0.00001288174,0.00002937642,0.0003514064,0.0004132431,0.00001743422,0.0002111204,0.9946891],"genre_scores_gemma":[0.001424614,0.000003006269,0.00005275785,0.0001364034,0.001257772,6.202333e-7,0.000149066,0.00006074622,0.996915],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6467933,"threshold_uncertainty_score":0.9997929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897914166679495,"score_gpt":0.1911561820296951,"score_spread":0.1621770403629001,"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."}}