{"id":"W2142159900","doi":"","title":"New sight of herding behavioural through trading volume","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herding; Sight; Volume (thermodynamics); Business; Herd behavior; Financial economics; Economics; Geography; Physics; Astronomy; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007325452,0.0001485487,0.0003084125,0.001098345,0.0002696853,0.001019501,0.000435268,0.0005693842,0.001605174],"category_scores_gemma":[0.006124537,0.0002671449,0.0002933793,0.0008198473,0.0007910655,0.001973951,0.000498563,0.0006322977,0.0001490828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768053,"about_ca_system_score_gemma":0.0001395265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489621,"about_ca_topic_score_gemma":0.001944644,"domain_scores_codex":[0.9997593,0.00006602303,0.00001340049,0.00007761503,0.00005937946,0.00002441841],"domain_scores_gemma":[0.9954121,0.002469631,0.001108303,0.0005545421,0.000270121,0.0001854444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003867914,0.0002671835,0.6942409,0.0003481733,0.0005551656,0.0006170664,0.008333531,0.01041548,0.04685847,0.03202984,0.001512747,0.2044347],"study_design_scores_gemma":[0.0000180239,0.0002931115,0.9324476,0.00007211691,0.0001801351,0.0008486254,0.001566153,0.03634504,0.002545229,0.02191329,0.003693524,0.00007717811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755788,0.001382082,0.01656983,0.000412003,0.00002680476,0.000008584244,0.0001028871,0.0000699521,0.005849047],"genre_scores_gemma":[0.995,0.0004455717,0.003649027,0.00006734958,0.0000525269,0.000005309877,0.00005073352,0.0000145003,0.0007150262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002489621,"threshold_uncertainty_score":0.005369842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05456421957095942,"score_gpt":0.2797588425527081,"score_spread":0.2251946229817486,"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."}}