{"id":"W4401904680","doi":"10.2139/ssrn.4920293","title":"Lost-Premium Damages in M&A: Delaware's New Legal Landscape <br>","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; McGill University","funders":"","keywords":"Damages; Economics; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00285893,0.0006191318,0.001073492,0.001124431,0.0001599666,0.0005825876,0.00109404,0.0005639833,0.0004370729],"category_scores_gemma":[0.0001453789,0.0006991646,0.000562796,0.0005344991,0.00005448771,0.0002864022,0.0008672599,0.007421882,0.004782573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101727,"about_ca_system_score_gemma":0.002219987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514888,"about_ca_topic_score_gemma":0.01794093,"domain_scores_codex":[0.994152,0.00004605958,0.001481531,0.001008186,0.0001771838,0.00313502],"domain_scores_gemma":[0.9981882,0.00003685071,0.0007679916,0.0007648036,0.00006890193,0.0001732407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001089617,0.0001498872,0.01053136,0.000172419,0.0004905026,0.00006124137,0.0005633773,0.001820169,0.000006693021,0.9519865,0.02336695,0.01074194],"study_design_scores_gemma":[0.0006583199,0.00006090321,0.002623229,0.0001712598,0.00004083636,0.00007739104,0.0001096459,0.0002599359,0.000001890582,0.6770636,0.3182791,0.0006538985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4950976,0.2871704,0.04317648,0.009986294,0.01085881,0.001454718,0.0004217053,0.0002400142,0.1515939],"genre_scores_gemma":[0.8695278,0.06890442,0.0004305087,0.0002968167,0.002453655,0.0000328437,0.0001139692,0.0001559808,0.05808403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744302,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049260730984797,"score_gpt":0.2404929991527553,"score_spread":0.2200003918429073,"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."}}