{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000754277,0.000101014,0.00007535635,0.00007227768,0.0003290659,0.0001453427,0.000530181,0.00005009247,0.00002515024],"category_scores_gemma":[0.00002323837,0.00007756889,0.0000728731,0.0002196701,0.00004253842,0.0003785605,0.00005201011,0.0009794735,0.0002646436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425179,"about_ca_system_score_gemma":0.000430461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001232781,"about_ca_topic_score_gemma":0.00008681611,"domain_scores_codex":[0.9982498,0.00006918598,0.0001301982,0.0002030754,0.0002729979,0.0010747],"domain_scores_gemma":[0.9995309,0.00002578336,0.00007191591,0.0002486443,0.00005999385,0.00006275873],"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":[0.00005624286,0.00007800439,0.002503495,0.000001520047,0.00006856095,0.00000681843,0.0004964544,0.00001207216,0.0008005397,0.9396005,0.002834967,0.05354079],"study_design_scores_gemma":[0.0004805835,0.002038401,0.009711266,0.00002632851,0.000009914929,0.0009812997,0.0001366271,0.001384002,0.0007973105,0.9696329,0.01453606,0.0002653569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3117851,0.0003571743,0.6689212,0.01026689,0.001839394,0.00008228483,4.98258e-7,0.0001505488,0.006596948],"genre_scores_gemma":[0.9961611,0.00009950353,0.0003709252,0.0005144394,0.001371372,0.000001956208,5.28318e-7,0.000009036838,0.001471134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.684376,"threshold_uncertainty_score":0.4255379,"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."}}