{"id":"W3122935492","doi":"","title":"Initial Offer Precision and M&A Outcomes","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Quarter (Canadian coin); Cash; Database transaction; Economics; Actuarial science; Econometrics; Business; Computer science; Finance; Geography","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":[0.005036618,0.0003564743,0.000456073,0.001312388,0.0005605494,0.00230449,0.0004886935,0.0006773514,0.006576014],"category_scores_gemma":[0.07954505,0.0002484863,0.0004136987,0.0008447828,0.0009219747,0.00178543,0.0011778,0.001795399,0.0007263017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009198888,"about_ca_system_score_gemma":0.000410906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155525,"about_ca_topic_score_gemma":0.00101708,"domain_scores_codex":[0.9975232,0.0007289142,0.0002371632,0.0003339832,0.0008700272,0.0003067584],"domain_scores_gemma":[0.815795,0.1143199,0.05704585,0.005097748,0.003376015,0.004365426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003989054,0.00145123,0.8765144,0.0002465993,0.000448918,0.0004898899,0.001731267,0.01541707,0.00415305,0.01344885,0.00113307,0.08097654],"study_design_scores_gemma":[0.00008432769,0.001653448,0.9669465,0.00005340198,0.0001048128,0.0003453466,0.0008283337,0.007599448,0.001921988,0.01902445,0.001351869,0.00008609339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887614,0.0006185323,0.003617069,0.0003121643,0.00002055216,0.00005134236,0.0002137213,0.00003983072,0.006365517],"genre_scores_gemma":[0.9989628,0.00009619461,0.0004093684,0.0000157705,0.00002748415,0.00001092571,0.00007803498,0.000005188273,0.0003941918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006576014,"threshold_uncertainty_score":0.02663654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07346233183794901,"score_gpt":0.3728204114923043,"score_spread":0.2993580796543552,"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."}}