{"id":"W1961257806","doi":"10.2139/ssrn.487902","title":"Leaders and Followers Among Security Analysts: Analysis of Impact and Accuracy","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Computer security; Actuarial science; Political science; Econometrics; Economics; Computer 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":[0.01318677,0.0002784007,0.000750913,0.003240397,0.001732452,0.002548572,0.001451299,0.001590479,0.004269608],"category_scores_gemma":[0.1664187,0.000303829,0.0006286018,0.003261008,0.001208728,0.00315563,0.002216476,0.001833028,0.0007688104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074404,"about_ca_system_score_gemma":0.001463382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008057642,"about_ca_topic_score_gemma":0.01020214,"domain_scores_codex":[0.9888403,0.004594724,0.0005775223,0.001127658,0.003720793,0.001138943],"domain_scores_gemma":[0.6373314,0.3160636,0.02033824,0.008752223,0.01335843,0.00415611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004625776,0.0001716022,0.9779857,0.00004451368,0.0001586894,0.00007356584,0.002158153,0.000854778,0.0001564691,0.0006461754,0.00047785,0.01680995],"study_design_scores_gemma":[0.00004187981,0.0003961967,0.9802515,0.00005434401,0.0002417553,0.0001582713,0.005830286,0.008946791,0.0006345135,0.002052587,0.001366353,0.00002554243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934373,0.0003355445,0.0007264247,0.0004326111,0.00003082653,0.00003033229,0.000308991,0.00001494858,0.004683002],"genre_scores_gemma":[0.9984229,0.0001060321,0.0003334795,0.00004385812,0.00004117944,0.00001817601,0.0002432558,0.000004824059,0.0007862202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01318677,"threshold_uncertainty_score":0.0697391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00637437939696314,"score_gpt":0.2558430811322286,"score_spread":0.2494687017352654,"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."}}