{"id":"W7099392857","doi":"","title":"Control Threat and Means of Payment: Evidence from Canadian Mergers and Acquisitions","year":2009,"lang":"en","type":"article","venue":"","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash; Payment; Corporate governance; Leverage (statistics); Mergers and acquisitions; Control (management); Shareholder","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001870948,0.0002536981,0.0003490075,0.002162519,0.003849936,0.002208909,0.0007188072,0.0005878654,0.004285945],"category_scores_gemma":[0.01551806,0.0002335708,0.0002729573,0.003682034,0.001888426,0.000692068,0.001169401,0.0007218142,0.0002095699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01623889,"about_ca_system_score_gemma":0.01723484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9485118,"about_ca_topic_score_gemma":0.9730355,"domain_scores_codex":[0.997778,0.0002991816,0.00009041946,0.0001811003,0.00110365,0.0005475964],"domain_scores_gemma":[0.9799882,0.004755793,0.009596138,0.0006777606,0.00297801,0.00200413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003838077,0.00009240508,0.9711217,0.00007568008,0.00006985725,0.0003068533,0.00507615,0.0001782094,0.0002456974,0.002146264,0.002833372,0.01747004],"study_design_scores_gemma":[0.0000113212,0.00002942002,0.9913411,0.00004865269,0.00003014652,0.0001215266,0.003973159,0.0001243616,0.0001305316,0.0001038099,0.004069,0.0000171283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852887,0.001888627,0.00007626334,0.001204267,0.000006966983,0.00002685867,0.0008688323,0.000004482742,0.01063516],"genre_scores_gemma":[0.9970194,0.001113669,0.00006187652,0.0001115927,0.000008165273,0.000006249533,0.0004047566,0.00000214051,0.001272133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05148822,"threshold_uncertainty_score":0.1178219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979029982483887,"score_gpt":0.3098759842226174,"score_spread":0.2800856843977785,"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."}}