{"id":"W2010952772","doi":"10.2139/ssrn.1265161","title":"The Predictive Role of Analyst Coverage Intensity: Evidence from Cross-Listing in the U.S.","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Actuarial science; Econometrics; Accounting; Economics","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":[0.001855035,0.000233031,0.000281789,0.001134126,0.0004089729,0.00107755,0.0003761536,0.0006455791,0.004065959],"category_scores_gemma":[0.01273794,0.0001913596,0.0003314091,0.002202088,0.0004596823,0.0005794673,0.000733331,0.001099667,0.0005047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298044,"about_ca_system_score_gemma":0.0004360338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02777529,"about_ca_topic_score_gemma":0.05231466,"domain_scores_codex":[0.999453,0.0002202214,0.0000560608,0.00008722572,0.00008946145,0.00009399687],"domain_scores_gemma":[0.9704484,0.01303944,0.01118427,0.001258652,0.001471968,0.00259734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001369821,0.00004678571,0.996932,0.000004894409,0.00006594126,0.00004464316,0.00009836291,0.0001086882,0.00004638092,0.00005907881,0.0005055983,0.00195052],"study_design_scores_gemma":[0.000009426294,0.00003972783,0.9985132,0.00001231678,0.00004811962,0.00004795191,0.0002470488,0.0005952184,0.00005760192,0.0001334319,0.0002920715,0.000003933119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974201,0.0005370342,0.00005844469,0.0006333388,0.00001788183,0.00000230193,0.0004941446,0.000006914188,0.0008299567],"genre_scores_gemma":[0.9988097,0.0002232648,0.00002869967,0.00007339664,0.00002887648,0.000001507464,0.0006109852,0.000003677344,0.0002199684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02777529,"threshold_uncertainty_score":0.05522722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007753677280794539,"score_gpt":0.2346032637268156,"score_spread":0.226849586446021,"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."}}