{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282015,0.000081588,0.00008457684,0.00007761522,0.0006871011,0.00007726098,0.0001142329,0.00008073301,0.0002635976],"category_scores_gemma":[0.00001271153,0.00006565525,0.00003873908,0.00008867594,0.00007440302,0.000340869,0.00001182876,0.0005330683,0.0000635665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231988,"about_ca_system_score_gemma":0.0002473835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007661438,"about_ca_topic_score_gemma":0.001371357,"domain_scores_codex":[0.9984221,0.0001487628,0.0001626635,0.000133384,0.0002958937,0.0008371627],"domain_scores_gemma":[0.9996163,0.00004163637,0.000133279,0.00007316125,0.00004273664,0.00009283635],"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":[0.0001085617,0.00008855561,0.0008640227,0.000003548013,0.00004168776,0.000002747149,0.01240109,0.0000060291,0.002229639,0.9505075,0.009892992,0.02385361],"study_design_scores_gemma":[0.001126077,0.0003530496,0.0007552141,0.0001020697,0.00002837614,0.0000527453,0.00651754,0.00007923703,0.001805292,0.4941125,0.4947288,0.0003390618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3429435,0.00088171,0.01123126,0.0010299,0.000468352,0.0001769291,4.957759e-7,0.00007231624,0.6431955],"genre_scores_gemma":[0.9895981,0.0003338328,0.0004990101,0.0001354473,0.0002639026,0.000001439723,0.000001143531,0.000007311975,0.009159791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6466546,"threshold_uncertainty_score":0.5284696,"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."}}