{"id":"W1601795026","doi":"","title":"Shadows and Light: Addressing Information Asymmetries Through Enhanced Social Disclosure in Canadian Securities Law","year":2008,"lang":"en","type":"article","venue":"","topic":"Corporate Law and Human Rights","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Obligation; Accounting; Business; Social media; Section (typography); Law and economics; Law; Political science; Economics; Advertising","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007395071,0.0004167284,0.0003550644,0.001924383,0.009063851,0.008528535,0.001937368,0.002529589,0.008025398],"category_scores_gemma":[0.02802182,0.0002514671,0.0004338445,0.002294518,0.0134683,0.005997089,0.00545957,0.003186178,0.0002241935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04923332,"about_ca_system_score_gemma":0.05884018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7923262,"about_ca_topic_score_gemma":0.8342535,"domain_scores_codex":[0.9922768,0.002061441,0.0001508455,0.0004522682,0.003570108,0.001488636],"domain_scores_gemma":[0.9896435,0.005367246,0.001119985,0.0009530767,0.002230139,0.0006860595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002754402,0.00002873596,0.00350861,0.00007158437,0.00001429023,0.0002062233,0.007589298,0.002204341,0.0004067142,0.9341298,0.006416035,0.04539675],"study_design_scores_gemma":[0.000116077,0.00008149646,0.01811309,0.0005943914,0.0001471372,0.0002419819,0.0164211,0.02225574,0.002105832,0.6938469,0.2458927,0.0001835935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1999088,0.004569053,0.04493099,0.09392104,0.000391475,0.0004160455,0.0002469508,0.0001498031,0.6554658],"genre_scores_gemma":[0.9809379,0.0009980419,0.005296109,0.002229615,0.0001171405,0.00004595178,0.0000241954,0.00001627194,0.01033482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2076738,"threshold_uncertainty_score":0.4177936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703662451066445,"score_gpt":0.2160983667368097,"score_spread":0.1890617422261453,"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."}}