{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006052406,0.0002833928,0.0005623313,0.0009821169,0.0002531767,0.000724169,0.0005024244,0.0004168333,0.0001588976],"category_scores_gemma":[0.005670332,0.0002726273,0.0001368925,0.0001645379,0.0002331827,0.0002575886,0.002365225,0.001481942,0.00007516688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949906,"about_ca_system_score_gemma":0.0002692424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004954089,"about_ca_topic_score_gemma":0.0003096722,"domain_scores_codex":[0.9969695,0.0001066456,0.0007793527,0.0008750678,0.0005824862,0.0006869229],"domain_scores_gemma":[0.9979323,0.0006023993,0.0003386609,0.0007312932,0.0003494015,0.00004594041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001132623,0.0001193882,0.2232128,0.0005142767,0.00004584411,0.00003273681,0.00006100598,0.001491222,0.00003776349,0.002553116,0.0005913221,0.7712272],"study_design_scores_gemma":[0.001531977,0.00005291689,0.7054977,0.000565674,0.00002602495,0.00000511173,0.0002188098,0.08873859,0.00003970601,0.03161322,0.1707664,0.000943895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652978,0.00003388566,0.000008514618,0.0008501897,0.0006049429,0.0006584773,0.000004820197,0.00005635661,0.132485],"genre_scores_gemma":[0.9955214,0.0004360771,0.0001536247,0.0003082362,0.00104223,0.0001187857,0.00005645181,0.00006044411,0.00230279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7702833,"threshold_uncertainty_score":0.9999726,"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."}}