{"id":"W2941473735","doi":"10.5539/ibr.v12n5p111","title":"Does Technology Matter When Selecting a Target Firm in an M&amp;A? Some Evidence on a European M&amp;A Sample","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Portfolio; Business; Economics; Finance; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003814036,0.000175226,0.0002788327,0.001771469,0.0003836195,0.001737966,0.000501564,0.0007881532,0.00380906],"category_scores_gemma":[0.01290166,0.0001675893,0.0004711831,0.002293583,0.0004590667,0.001520765,0.001126313,0.0004181351,0.001078193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791907,"about_ca_system_score_gemma":0.0002671245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171713,"about_ca_topic_score_gemma":0.001945497,"domain_scores_codex":[0.9966258,0.001065791,0.0003724077,0.0008093747,0.0007581179,0.0003684855],"domain_scores_gemma":[0.9744318,0.009991716,0.0124777,0.001000305,0.00115889,0.0009395535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548435,0.00008544668,0.9867859,0.00004879282,0.00009129009,0.0001848289,0.0005708818,0.0001106738,0.0002305593,0.0003933615,0.0003480393,0.0109953],"study_design_scores_gemma":[0.000006162028,0.000127483,0.9959542,0.00002694681,0.00005500846,0.0001936017,0.0008459229,0.0002250637,0.0004268945,0.0001183739,0.002014853,0.000005615231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942795,0.0008979559,0.000611977,0.0001470184,0.00001045461,0.00001567927,0.0004098837,0.000004279706,0.003623267],"genre_scores_gemma":[0.9977373,0.0003365167,0.0001499666,0.00009825862,0.00002229522,0.00001317369,0.0005913131,0.000004453065,0.001046732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003814036,"threshold_uncertainty_score":0.02017081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513698519695287,"score_gpt":0.3597033105710429,"score_spread":0.2083334586015142,"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."}}