{"id":"W3011615595","doi":"10.1080/19186444.2020.1735782","title":"Interactive learning processes and mergers and acquisitions in national systems of innovation","year":2020,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Internationalization; Foreign direct investment; Emerging markets; Industrial organization; Business; Sample (material); Economic geography; Process (computing); Mergers and acquisitions; Empirical research; Empirical evidence; Interactive Learning; Investment (military); Panel data; Marketing; Economics; International trade; Macroeconomics; Political science; Engineering; Computer science","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":[0.003481973,0.000156717,0.0001888034,0.002344114,0.0007726295,0.00370567,0.0005179825,0.001298996,0.00362011],"category_scores_gemma":[0.01626032,0.0001142984,0.0003138423,0.002495378,0.004017837,0.006823468,0.001178835,0.0009995183,0.00025629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00285888,"about_ca_system_score_gemma":0.002749456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805026,"about_ca_topic_score_gemma":0.004297439,"domain_scores_codex":[0.9974825,0.001480151,0.0001284764,0.0001713135,0.0004326965,0.0003049537],"domain_scores_gemma":[0.9773132,0.01796467,0.001509646,0.0005968941,0.002176589,0.0004391104],"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":[0.0002213865,0.0001452906,0.01282963,0.0008829318,0.000100666,0.0001705778,0.004936487,0.003743374,0.0005320935,0.7209591,0.005397519,0.2500809],"study_design_scores_gemma":[0.0001362413,0.0003190753,0.1073494,0.001690724,0.0002306436,0.0004086437,0.01124459,0.008314121,0.001684434,0.7084693,0.1600938,0.00005901044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4671651,0.219158,0.01819172,0.0313767,0.0005894131,0.0001211543,0.0001704569,0.00010506,0.2631224],"genre_scores_gemma":[0.9710517,0.02398475,0.001286458,0.0003339096,0.0001651002,0.00004296008,0.00003886134,0.000005863315,0.003090395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003805026,"threshold_uncertainty_score":0.02074271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04531223342942262,"score_gpt":0.271926807950939,"score_spread":0.2266145745215164,"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."}}