{"id":"W7011427815","doi":"","title":"Lost Synergies and M&A Damages: Considering Cineplex v Cineworld","year":2022,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Shareholder; Database transaction; Structuring; Reliability (semiconductor); Economic Justice; Transaction cost; Limiting","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":[0.0140104,0.0004864735,0.0008612358,0.002554916,0.007597898,0.01376208,0.002716013,0.01778636,0.00454666],"category_scores_gemma":[0.0353723,0.0006185554,0.001209165,0.001743479,0.01438097,0.009635117,0.004566578,0.009662018,0.0004115455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01223329,"about_ca_system_score_gemma":0.009329715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05723063,"about_ca_topic_score_gemma":0.09247003,"domain_scores_codex":[0.9844216,0.005159699,0.000786615,0.001489976,0.00509683,0.003045249],"domain_scores_gemma":[0.9796528,0.01445222,0.001428545,0.0008983267,0.002552186,0.001015983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006983425,0.00008096141,0.003599052,0.00005349723,0.00005741878,0.002063877,0.002201116,0.002792333,0.0004070066,0.9730802,0.0095087,0.006086041],"study_design_scores_gemma":[0.0001356053,0.0005259041,0.01148865,0.000516743,0.000244766,0.001633016,0.01172126,0.01356272,0.001627489,0.8396167,0.1186153,0.0003120424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2314885,0.005872382,0.01693757,0.1931467,0.000549416,0.0003083153,0.0004477092,0.00009278003,0.5511566],"genre_scores_gemma":[0.9663295,0.0008866686,0.002418119,0.01832371,0.0005316646,0.0001041599,0.00005197928,0.00002364012,0.01133051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05723063,"threshold_uncertainty_score":0.113795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394398050153529,"score_gpt":0.2468295458419001,"score_spread":0.2228855653403648,"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."}}