{"id":"W1982136989","doi":"10.3390/jrfm2010075","title":"The Nexus between Analyst Forecast Dispersion and Expected Returns Surrounding Stock Market Crashes","year":2009,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Stock (firearms); Stock market; Business; Financial economics; Economics; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002934275,0.0003049152,0.0005902908,0.002171186,0.0003291568,0.001945627,0.0004734146,0.001075956,0.002178224],"category_scores_gemma":[0.03178873,0.0002782911,0.0004492255,0.001465885,0.0006244861,0.001991094,0.001205516,0.001344969,0.0004134154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524573,"about_ca_system_score_gemma":0.0005066147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007026196,"about_ca_topic_score_gemma":0.007044487,"domain_scores_codex":[0.9987783,0.0003132539,0.0001719793,0.0002828081,0.0002953699,0.000158345],"domain_scores_gemma":[0.9339496,0.03998822,0.02157794,0.001515565,0.001914779,0.0010539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001521389,0.00007308571,0.9763307,0.00003007715,0.0001485249,0.0002148731,0.0003530578,0.00898529,0.0003233034,0.001394283,0.0003144062,0.01168036],"study_design_scores_gemma":[0.000009579669,0.0001745144,0.9621262,0.00003013694,0.000103165,0.0002700591,0.0006721089,0.03173728,0.0005722269,0.003578694,0.0006860804,0.00003997541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949242,0.000651577,0.002259919,0.0005537636,0.00001746092,0.000006406053,0.0002059658,0.00002008107,0.001360671],"genre_scores_gemma":[0.9990325,0.0002153919,0.0002643677,0.00001555243,0.00003628528,0.000002369629,0.0001845015,0.000002979699,0.0002460634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007026196,"threshold_uncertainty_score":0.01551813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810793782886832,"score_gpt":0.2113318275492407,"score_spread":0.1932238897203723,"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."}}