{"id":"W4363609108","doi":"10.2139/ssrn.4413866","title":"M&A and Technological Expansion","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Economics; Mathematics; Mathematical economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503689,0.0002537741,0.0002201896,0.003407219,0.001119035,0.00372107,0.0006680893,0.00162533,0.04141404],"category_scores_gemma":[0.008791615,0.0001509673,0.0003920317,0.002883769,0.002588382,0.00490956,0.002100061,0.00148767,0.003612802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00276972,"about_ca_system_score_gemma":0.001853238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004451432,"about_ca_topic_score_gemma":0.004952326,"domain_scores_codex":[0.9990801,0.0002143846,0.00006159733,0.000215864,0.0002168639,0.0002111763],"domain_scores_gemma":[0.9903787,0.004030284,0.001936861,0.0006053748,0.001353474,0.001695309],"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":[0.0004327808,0.0003400504,0.0463257,0.0003209551,0.00003840555,0.00133628,0.0009442521,0.003755877,0.002590054,0.7562131,0.02254632,0.1651563],"study_design_scores_gemma":[0.0001173134,0.0006450663,0.2676623,0.000539155,0.0001116734,0.002441583,0.003118003,0.009252023,0.005955062,0.2935359,0.4165249,0.00009705165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3536519,0.005389162,0.005242465,0.01431504,0.0002230467,0.00008960319,0.002496089,0.0003249234,0.6182678],"genre_scores_gemma":[0.9614754,0.002075633,0.001552525,0.0007303814,0.0004098499,0.0000317928,0.0003151924,0.00003093944,0.03337837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04141404,"threshold_uncertainty_score":0.1385438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179960036967764,"score_gpt":0.2212388817717681,"score_spread":0.2032428780749917,"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."}}