{"id":"W2624905226","doi":"","title":"The Effect of ESG Information on Market Returns in Mergers","year":2016,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Corporate governance; Business; Pillar; Aggregate (composite); Event study; Monetary economics; Value (mathematics); Market value; Accounting; Economics; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003098785,0.0002810379,0.0004295771,0.001873688,0.000755303,0.0002884388,0.0007191857,0.0003097239,0.00004454182],"category_scores_gemma":[0.002544702,0.0002170087,0.0002580756,0.001937782,0.0002371705,0.001250312,0.0001850735,0.0008923046,0.00005840406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007611791,"about_ca_system_score_gemma":0.000509384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01052592,"about_ca_topic_score_gemma":0.01868377,"domain_scores_codex":[0.9968868,0.0004359814,0.0005996413,0.0003937539,0.001063426,0.0006203465],"domain_scores_gemma":[0.9965155,0.001359093,0.00101538,0.0006154575,0.0004576217,0.00003700206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03800652,0.0001320526,0.8633062,0.003705408,0.0004851894,0.001743064,0.0006397638,0.00002980196,0.005349113,0.01808191,0.009442779,0.05907825],"study_design_scores_gemma":[0.003437441,0.0007909494,0.7975808,0.002462375,0.0002131025,0.000005384322,0.007268447,0.0003698617,0.02375667,0.003793599,0.1590587,0.001262692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6396679,0.00001864594,7.939207e-7,0.0001871344,0.0007448096,0.0006203765,0.000001650715,0.00003875405,0.35872],"genre_scores_gemma":[0.9655447,0.00004421344,3.806504e-7,0.000005631798,0.0003980979,0.000007379495,0.00003669116,0.00002842315,0.03393449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3258769,"threshold_uncertainty_score":0.9992227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367912349038901,"score_gpt":0.2622575382620482,"score_spread":0.2485784147716592,"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."}}