{"id":"W2851374521","doi":"10.1111/fima.12229","title":"Initial Offer Precision and M&A Outcomes","year":2018,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marcus och Amalia Wallenbergs minnesfond; Academy of Finland","keywords":"Liberian dollar; Cash; Quarter (Canadian coin); Economics; Business; Actuarial science; Econometrics; Finance; History","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":[0.004148266,0.0002594139,0.0003288585,0.001006628,0.000442331,0.002134715,0.00051634,0.0006437227,0.01198558],"category_scores_gemma":[0.04832537,0.0001984368,0.0003599661,0.0007718895,0.0007515348,0.001107724,0.001046843,0.001764498,0.0008956195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006470587,"about_ca_system_score_gemma":0.000481214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397962,"about_ca_topic_score_gemma":0.001156222,"domain_scores_codex":[0.9973595,0.0009274392,0.0002543036,0.0002695203,0.0008139017,0.0003752797],"domain_scores_gemma":[0.8388822,0.08057779,0.06856139,0.003354256,0.002494539,0.006129893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00169398,0.001180967,0.9592633,0.00009725145,0.0002333969,0.0002010898,0.000489893,0.004113601,0.0007736466,0.003601615,0.001113855,0.02723743],"study_design_scores_gemma":[0.00004696428,0.0008883845,0.9896763,0.00004468143,0.00005650907,0.0001777776,0.0007259237,0.003106795,0.0008868367,0.003389578,0.0009678144,0.00003250891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939467,0.0002757492,0.0007886477,0.0003488832,0.00001434324,0.0000402021,0.0003668673,0.00002295488,0.004195635],"genre_scores_gemma":[0.9991481,0.00004750229,0.0001226376,0.0000127774,0.00001776853,0.00000894041,0.00009815959,0.000002437064,0.0005416337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198558,"threshold_uncertainty_score":0.04009575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734813817510526,"score_gpt":0.2501537114021777,"score_spread":0.2228055732270724,"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."}}