{"id":"W2763989620","doi":"10.1163/22112596-02201007","title":"Understanding Human Rights on the Internet: An Exercise of Translation?","year":2017,"lang":"en","type":"article","venue":"Tilburg foreign law review","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Internet governance; The Internet; Human rights; Political science; Accountability; Corporate governance; Civil society; Legal aspects of computing; Metaphor; Public relations; Sociology; Law; Law and economics; Business; Politics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005899458,0.000122936,0.0002321808,0.00002631264,0.000649149,0.0001531359,0.001086042,0.00003977369,0.00009440327],"category_scores_gemma":[0.000007238263,0.00007678184,0.0001149347,0.00007129968,0.0001209248,0.0004693261,0.00005186828,0.0001128421,0.00004297899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002915013,"about_ca_system_score_gemma":0.000008446647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002215232,"about_ca_topic_score_gemma":0.00008515493,"domain_scores_codex":[0.999043,0.00007093827,0.0002536845,0.0002379435,0.0002355616,0.0001588882],"domain_scores_gemma":[0.9984955,0.00003401128,0.0002222421,0.001153216,0.00003498614,0.00006007824],"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":[0.000002276857,0.00002015904,0.000005407008,0.0001153923,0.000007370824,0.000002957504,0.00005548581,5.900464e-7,0.00004264289,0.9921986,0.0002328895,0.007316191],"study_design_scores_gemma":[0.0005429286,0.0005633415,0.0001474147,0.01213135,0.0001157711,0.00002368636,0.00001649115,0.003267498,0.01473132,0.9015641,0.06637963,0.000516512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01425986,0.01015422,0.1895576,0.002288857,0.0006719562,0.003013578,0.0000070598,0.0004339201,0.779613],"genre_scores_gemma":[0.9985939,0.0004224242,0.0006131729,0.0001854521,0.00004160894,0.00001859372,0.000001919989,0.000007462675,0.0001154214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9843341,"threshold_uncertainty_score":0.4992795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1621784929933845,"score_gpt":0.3170302117675512,"score_spread":0.1548517187741667,"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."}}