{"id":"W1815079858","doi":"10.2139/ssrn.2474135","title":"Product Market Threats and Stock Crash Risk","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Crash; Stock market; Computer science; 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":[0.001065005,0.0001739646,0.0001996356,0.001099634,0.0002883768,0.001921624,0.0002607768,0.001282366,0.01035224],"category_scores_gemma":[0.01788949,0.0001434391,0.0003218732,0.0007894216,0.0005691458,0.00188853,0.0009582106,0.001851542,0.001140441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098096,"about_ca_system_score_gemma":0.0002402527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618093,"about_ca_topic_score_gemma":0.002023477,"domain_scores_codex":[0.999666,0.00009692161,0.00003679894,0.0000365532,0.0000905402,0.00007312351],"domain_scores_gemma":[0.973451,0.008935997,0.01308923,0.0006869053,0.001062101,0.002774724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006904834,0.000166465,0.9872235,0.00002123427,0.00009807922,0.0002713093,0.0001256928,0.0009088065,0.0001663137,0.002927833,0.001108362,0.006291865],"study_design_scores_gemma":[0.00002957322,0.0003435584,0.9835543,0.00003236906,0.00008879673,0.0006161309,0.0005577019,0.005543919,0.0001990181,0.007116069,0.001899883,0.00001856792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924372,0.001094262,0.0002852131,0.001138107,0.00003026612,0.000006495722,0.0002844737,0.000009099895,0.004714882],"genre_scores_gemma":[0.9982686,0.0003697065,0.00002979953,0.00003629736,0.00005210481,0.000001834425,0.0001774373,0.000002627011,0.001061603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035224,"threshold_uncertainty_score":0.03463167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007212292123891804,"score_gpt":0.1958114130339986,"score_spread":0.1885991209101068,"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."}}