{"id":"W1873403028","doi":"10.2139/ssrn.1630943","title":"Twitter in Congress: Outreach vs. Transparency","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social Media and Politics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Outreach; Transparency (behavior); Political science; Public relations; Law","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":[0.02702704,0.0004774338,0.0009294952,0.002134011,0.004018262,0.01404361,0.001227573,0.004782137,0.02745952],"category_scores_gemma":[0.1652395,0.0004178159,0.0005930089,0.002871698,0.007190311,0.01918508,0.00583183,0.007138239,0.001150249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00479145,"about_ca_system_score_gemma":0.006189495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006820795,"about_ca_topic_score_gemma":0.007596022,"domain_scores_codex":[0.9724855,0.01793365,0.000823314,0.001599592,0.003994207,0.003163743],"domain_scores_gemma":[0.7281349,0.2339877,0.02042665,0.005809118,0.006603946,0.005037652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00166485,0.0004160193,0.03671944,0.0009832163,0.0002697114,0.00044529,0.01878283,0.002615476,0.0007032526,0.8190619,0.03037043,0.08796754],"study_design_scores_gemma":[0.0005364282,0.0005426058,0.05587209,0.00251378,0.0009488009,0.0003866793,0.05579679,0.01361741,0.003698948,0.7809249,0.08490908,0.0002524453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2058065,0.00492226,0.01049464,0.1819511,0.001347822,0.0002643491,0.0006379419,0.0001655105,0.5944099],"genre_scores_gemma":[0.9929069,0.0005835409,0.0003355489,0.002320024,0.0004833416,0.00004830428,0.00002737849,0.00003457776,0.003260362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02745952,"threshold_uncertainty_score":0.1429344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586074796257909,"score_gpt":0.3120239633412358,"score_spread":0.2961632153786568,"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."}}