{"id":"W2799703943","doi":"10.4337/9781784711481.00036","title":"Canadian M &amp; A: a comparative perspective","year":2016,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate law; Shareholder; Optimal distinctiveness theory; Mergers and acquisitions; Politics; Corporate governance; Political science; Perspective (graphical); Tender offer; Law and economics; Law; Business; Sociology; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004008965,0.000643027,0.0006670065,0.0006942258,0.0004099087,0.003550026,0.0008752586,0.0005240505,0.002213785],"category_scores_gemma":[0.0001465684,0.0005600678,0.0002933854,0.00006361762,0.0001689824,0.002698582,0.0003280704,0.0008667236,0.004439435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111886,"about_ca_system_score_gemma":0.0007325759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1461387,"about_ca_topic_score_gemma":0.6376347,"domain_scores_codex":[0.9974099,0.000008131686,0.0004228303,0.0008201317,0.000632952,0.0007060452],"domain_scores_gemma":[0.9974439,0.00006177522,0.000726909,0.0006769383,0.0009852998,0.0001051741],"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":[0.00001731741,0.000003630528,0.00003694928,0.00002655735,0.0001000193,0.00003842417,0.0001929103,3.430102e-7,0.000004767376,0.6945621,0.3027851,0.002231887],"study_design_scores_gemma":[0.0002912709,0.000005575133,0.00006699286,0.0003200252,0.00007649983,0.00000424231,0.00008863064,0.000003345764,0.000001805476,0.1529961,0.8454895,0.0006559908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001215894,0.0002171275,0.00003602574,0.004261345,0.001495668,0.0004577266,0.000114872,0.0002615683,0.9930341],"genre_scores_gemma":[0.02485803,0.000007062938,0.00005823573,0.004946809,0.007840514,0.00002769875,0.000131528,0.000151968,0.9619781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5427044,"threshold_uncertainty_score":0.9996851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242548914251263,"score_gpt":0.2296878443801044,"score_spread":0.1872623552375918,"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."}}