{"id":"W4394927047","doi":"10.2139/ssrn.4798796","title":"Dumb Money? Social Network Attention Herding, Sentiment, and Markets","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Herding; Monetary economics; Economics; Financial economics; Business; Geography","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":[0.001162927,0.0001660131,0.0003991623,0.0005197283,0.0004793936,0.001639042,0.000309063,0.001175574,0.009588889],"category_scores_gemma":[0.01186108,0.0001693373,0.00018161,0.0006209246,0.0006959782,0.002617649,0.0005298082,0.0008532473,0.0005563351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497103,"about_ca_system_score_gemma":0.0001519995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004444643,"about_ca_topic_score_gemma":0.004044649,"domain_scores_codex":[0.9998177,0.00006218591,0.000006358393,0.00005600835,0.00001936326,0.00003849717],"domain_scores_gemma":[0.9935511,0.003729163,0.001810758,0.000261201,0.0001772795,0.0004704939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001432519,0.0006442609,0.6266988,0.0003663579,0.000782698,0.0004563573,0.0035292,0.009119117,0.005793841,0.09601136,0.03678821,0.2183773],"study_design_scores_gemma":[0.0001574717,0.0004396904,0.666028,0.0001532142,0.0004287345,0.0004902171,0.0049823,0.08097754,0.001304544,0.2349522,0.009996852,0.00008928643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976564,0.001551979,0.002514931,0.007397495,0.0001254135,0.000009205496,0.0002608525,0.00004314972,0.01153295],"genre_scores_gemma":[0.9977569,0.0002499508,0.00023357,0.0002394448,0.0001401725,0.000003206002,0.00003749811,0.000005965538,0.001333331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009588889,"threshold_uncertainty_score":0.03207803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471334909133465,"score_gpt":0.2228387991166267,"score_spread":0.2081254500252921,"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."}}