{"id":"W4234126564","doi":"10.2139/ssrn.3956040","title":"Biased information transmission in investor social networks: Evidence from professional traders","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Information transmission; Transmission (telecommunications); Business; Financial economics; Economics; Computer science; Telecommunications; Computer network","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":[0.004850595,0.000162368,0.000335957,0.0009937916,0.0007574961,0.001931094,0.000481982,0.001575082,0.006117302],"category_scores_gemma":[0.05933407,0.0002835536,0.0001452789,0.0009200252,0.001007036,0.002195881,0.0009837366,0.0009916249,0.0009618867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003161866,"about_ca_system_score_gemma":0.0002711613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074282,"about_ca_topic_score_gemma":0.002125557,"domain_scores_codex":[0.9981405,0.0011396,0.00008942171,0.0002029835,0.0002822773,0.0001452036],"domain_scores_gemma":[0.8887054,0.08894984,0.01367756,0.004368993,0.002961242,0.001336916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003032284,0.001500868,0.8600458,0.0003358181,0.0004178271,0.0009927815,0.02008722,0.003470846,0.003800971,0.01329991,0.003913017,0.08910272],"study_design_scores_gemma":[0.0006419096,0.001310776,0.8854718,0.0002701279,0.0004962516,0.002079535,0.02076341,0.02773657,0.0051646,0.04346647,0.01244869,0.0001499123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939753,0.0002023623,0.0006752806,0.0005148071,0.000005582578,0.0000142185,0.0001222358,0.00000549588,0.004484656],"genre_scores_gemma":[0.9988951,0.0001888318,0.0001901189,0.00008072074,0.00001563575,0.000008369589,0.00008493776,0.000003470096,0.0005328243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006117302,"threshold_uncertainty_score":0.02565271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880755222054341,"score_gpt":0.2275315078013916,"score_spread":0.1987239555808482,"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."}}