{"id":"W4239550648","doi":"10.4018/978-1-4666-9814-7.ch106","title":"Technology-Intensive Suppliers as a Key Element for Structural Change in Latin America","year":2016,"lang":"en","type":"book-chapter","venue":"International Business","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Diversification (marketing strategy); Industrialisation; Industrial organization; Developing country; Commodity; Context (archaeology); Competitive advantage; Marketing; Economic growth; Economics; Market economy","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":[0.0007718278,0.0001630761,0.0001717573,0.001016623,0.002074403,0.001973424,0.0004187556,0.0005876046,0.007190308],"category_scores_gemma":[0.001110615,0.0001813392,0.0001787885,0.002034058,0.001485555,0.001495566,0.001494242,0.0005941101,0.0002258242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003474781,"about_ca_system_score_gemma":0.002374483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03699093,"about_ca_topic_score_gemma":0.05748064,"domain_scores_codex":[0.9997392,0.00007810614,0.00001078047,0.00004159559,0.0000392972,0.00009105349],"domain_scores_gemma":[0.9995116,0.0001383772,0.0001363564,0.00002889887,0.0001110892,0.0000737988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004291382,0.000356277,0.2927757,0.001387802,0.00007150454,0.006783424,0.1779647,0.001162703,0.01033568,0.2081914,0.01321965,0.2873221],"study_design_scores_gemma":[0.00003869153,0.0001290959,0.4286228,0.0009334428,0.00006685424,0.001467823,0.167226,0.0008689532,0.001526059,0.01604746,0.3830304,0.00004254267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8346459,0.00679928,0.001197659,0.01201108,0.00004470409,0.00005819275,0.0001844115,0.00005088316,0.145008],"genre_scores_gemma":[0.9813763,0.004573326,0.001088539,0.0007415227,0.00002917333,0.00002830911,0.0001168558,0.00001755846,0.0120285],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03699093,"threshold_uncertainty_score":0.07355124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048773847114203,"score_gpt":0.2549593237338628,"score_spread":0.2344715852627207,"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."}}