{"id":"W1843794463","doi":"10.2139/ssrn.2242581","title":"Spam and Botnet Reputation Randomized Control Trials and Policy","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Randomized controlled trial; Reputation; Botnet; Business; Control (management); The Internet; Homogeneous; Internet privacy; Reputation management; Computer security; Computer science; Political science; Medicine; World Wide Web; Law; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1924131,0.003176155,0.007238494,0.00344413,0.002175707,0.006514106,0.004265876,0.01357262,0.02449956],"category_scores_gemma":[0.4695115,0.002425458,0.003429102,0.002286535,0.01275854,0.009554624,0.003305302,0.00820457,0.001844828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004158587,"about_ca_system_score_gemma":0.007464935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705986,"about_ca_topic_score_gemma":0.0008952551,"domain_scores_codex":[0.7010044,0.2641858,0.006866875,0.01417348,0.008293613,0.005475849],"domain_scores_gemma":[0.3430112,0.5927404,0.02499826,0.02985395,0.005881317,0.003514921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5137473,0.01070746,0.006823429,0.005036113,0.01044762,0.0005025591,0.001161789,0.04114063,0.00150436,0.2438721,0.02039732,0.1446594],"study_design_scores_gemma":[0.1712021,0.02676232,0.004366717,0.001037296,0.008199089,0.0004725808,0.0003961736,0.1350937,0.002723608,0.6361409,0.01328432,0.0003211431],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4148225,0.02412549,0.4243045,0.04182877,0.01402087,0.02119508,0.003202288,0.003787708,0.05271284],"genre_scores_gemma":[0.9432961,0.001353884,0.02961982,0.003745405,0.001541768,0.01019729,0.0002368697,0.0001945726,0.009814157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1924131,"threshold_uncertainty_score":0.9958984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006918129898558189,"score_gpt":0.2537438327058876,"score_spread":0.2468257028073294,"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."}}