{"id":"W178667614","doi":"10.2139/ssrn.1924566","title":"Doing Well by Doing Good? Rights and Regulation on Twitter","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social media; Political science; Business; Internet privacy; Law and economics; Computer science; Law; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007236401,0.000179115,0.0004104603,0.001118093,0.004530558,0.01006431,0.0007458178,0.004303395,0.016516],"category_scores_gemma":[0.02383269,0.0002930192,0.0003807117,0.001180359,0.01254087,0.01053112,0.003936916,0.004700203,0.002308053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815194,"about_ca_system_score_gemma":0.001736677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004863499,"about_ca_topic_score_gemma":0.0055408,"domain_scores_codex":[0.9922737,0.004130322,0.000303868,0.0007546045,0.001301722,0.001235645],"domain_scores_gemma":[0.9765107,0.01476306,0.002666303,0.003108455,0.001583784,0.001367679],"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":[0.00004961278,0.00003255647,0.005402101,0.00003450448,0.00001107202,0.0001196352,0.01628523,0.0001542663,0.0008702446,0.9495883,0.009639406,0.01781308],"study_design_scores_gemma":[0.00004219687,0.00005728433,0.02014874,0.000314307,0.00003769888,0.0003111273,0.02280193,0.001528414,0.00157612,0.6480677,0.3050047,0.0001098268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.128453,0.001027869,0.006170807,0.06147131,0.0004689357,0.00004258848,0.0002572885,0.00006790144,0.8020403],"genre_scores_gemma":[0.9553115,0.0003492938,0.0005362198,0.004127002,0.0004082124,0.00006642887,0.00005530125,0.00007917875,0.03906676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.016516,"threshold_uncertainty_score":0.05525154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265661425073891,"score_gpt":0.2562202863980975,"score_spread":0.2435636721473586,"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."}}