{"id":"W2777446660","doi":"10.2139/ssrn.3105847","title":"Discretionary Disclosure on Twitter","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Internet privacy; Business; Computer science; Computer security; Political science","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":[0.001080142,0.0001500826,0.0003041194,0.00128193,0.001188925,0.002198638,0.0003345572,0.0009781054,0.009588237],"category_scores_gemma":[0.01608819,0.0001455128,0.0001402504,0.001609208,0.0004028551,0.002285173,0.001057451,0.000870893,0.002210688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008508753,"about_ca_system_score_gemma":0.0005514906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113077,"about_ca_topic_score_gemma":0.004335421,"domain_scores_codex":[0.9983655,0.0004601687,0.0001004405,0.0001722091,0.0005882707,0.0003134644],"domain_scores_gemma":[0.9862555,0.00505391,0.004342283,0.002165549,0.001419967,0.0007627309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00135113,0.0003130793,0.5986637,0.0002389948,0.00007543174,0.001316646,0.004435563,0.004538809,0.005150613,0.0785609,0.07256668,0.2327884],"study_design_scores_gemma":[0.00008058063,0.0003324619,0.6645283,0.0003239979,0.0001203808,0.002077529,0.007584165,0.08844981,0.01537416,0.08733923,0.1336102,0.0001791132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024699,0.0007230807,0.002458721,0.005312358,0.0001845498,0.00005588442,0.003296378,0.0002603232,0.08523886],"genre_scores_gemma":[0.9924535,0.0001175002,0.0002826207,0.000121083,0.00006932915,0.000008512619,0.0003832062,0.000009538411,0.006554751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009588237,"threshold_uncertainty_score":0.03207588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009169750563088839,"score_gpt":0.2365510319738874,"score_spread":0.2273812814107986,"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."}}