{"id":"W4376853834","doi":"10.2139/ssrn.4439793","title":"When Crowds Aren't Wise: Biased Social Networks and its Price Impact","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Crowds; Economics; Econometrics; Computer science; Computer security","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":[0.002387781,0.0001302972,0.0001738974,0.0001233008,0.001089019,0.0001618112,0.0002714413,0.0001612482,0.0001493588],"category_scores_gemma":[0.0002652761,0.0001152808,0.0001061259,0.0004396491,0.0001315621,0.0002934857,0.0000321281,0.001251867,0.00007687174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006383223,"about_ca_system_score_gemma":0.003513217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004420657,"about_ca_topic_score_gemma":0.001533061,"domain_scores_codex":[0.9960274,0.0002192351,0.0002147423,0.0001485222,0.000406972,0.002983189],"domain_scores_gemma":[0.9992666,0.0001782762,0.0001288196,0.00006582259,0.0001078483,0.0002526009],"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":[0.0001341043,0.00009565027,0.02460157,0.00002560698,0.0005568415,0.00006653468,0.04902723,0.0005200036,0.0003535465,0.8450765,0.03016857,0.04937382],"study_design_scores_gemma":[0.002668299,0.0008505417,0.03284008,0.0001015717,0.0002148091,0.0001998149,0.03999442,0.002546925,0.00006258711,0.8029724,0.1162391,0.001309431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881854,0.002346824,0.0002622669,0.005186473,0.0004468473,0.0001615638,0.000006007911,0.0001056745,0.003298945],"genre_scores_gemma":[0.9869786,0.007246274,0.000004030451,0.0002669192,0.00236571,0.000004709073,0.000003738628,0.00001689317,0.003113128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08607049,"threshold_uncertainty_score":0.837596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02634183796647083,"score_gpt":0.3388993483232965,"score_spread":0.3125575103568257,"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."}}