{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006370389,0.0001020232,0.0003834647,0.0001513197,0.0001746431,0.0004508469,0.0001718216,0.0000499876,0.0000130771],"category_scores_gemma":[0.0006037757,0.00007354059,0.00007890249,0.0001175942,0.00005121356,0.001118143,0.00003440262,0.0004790591,0.00001887378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172855,"about_ca_system_score_gemma":0.000681112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001506181,"about_ca_topic_score_gemma":0.0000258253,"domain_scores_codex":[0.9980174,0.0004503531,0.0004810808,0.000115974,0.0001775103,0.0007577069],"domain_scores_gemma":[0.999094,0.0002753067,0.0003163882,0.0001116814,0.0001056709,0.00009697129],"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":[0.0003791014,0.000008315605,0.00002807888,0.000002396187,0.00007012169,3.139996e-7,0.000715534,0.000005398609,0.00003131038,0.9238915,0.0001094176,0.07475844],"study_design_scores_gemma":[0.08487717,0.0001172624,0.0003698162,0.000008120152,0.00002659911,0.0005978219,0.0002612009,0.03965401,0.00003498721,0.8732291,0.0006779577,0.0001459784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1187641,0.003457624,0.8554043,0.01884312,0.0002208184,0.0008767869,0.000001057356,0.00008115069,0.002351021],"genre_scores_gemma":[0.9956841,0.002371773,0.0006004446,0.0009208496,0.0001586418,0.0000156679,7.431549e-7,0.00000384329,0.0002439716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8769199,"threshold_uncertainty_score":0.4347527,"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."}}