{"id":"W4283009630","doi":"10.22201/cisan.24487228e.2022.2.547","title":"China's foreign direct investment in Mexico's auto parts-automotive industry:","year":2022,"lang":"en","type":"article","venue":"Norteamérica","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Foreign direct investment; China; Automotive industry; Context (archaeology); Investment (military); Business; Economic geography; Greenfield project; International trade; Economy; Geography; Economics; Political science; Engineering; Finance; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006277138,0.0002122113,0.0004781501,0.0003487709,0.0002362007,0.00003613822,0.0003372726,0.00012111,0.001612509],"category_scores_gemma":[0.00003785869,0.0002460841,0.0001226889,0.000439417,0.00005210613,0.0001259597,0.0002877647,0.0005509366,0.0002512427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007754074,"about_ca_system_score_gemma":0.00009103678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008592343,"about_ca_topic_score_gemma":0.00008524569,"domain_scores_codex":[0.9981644,0.0000390241,0.0006876874,0.0005904893,0.0000723945,0.0004459861],"domain_scores_gemma":[0.9991984,0.00002880248,0.0003095063,0.0003172564,0.00001227467,0.0001337835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003970925,0.0007197597,0.4891214,0.00002028498,0.0001605097,0.00008910297,0.002711521,0.008567663,0.000001748686,0.4652014,0.03158779,0.001779102],"study_design_scores_gemma":[0.0007866615,0.0001351413,0.5468783,0.000009531421,0.00000360195,0.0000136255,0.0005957467,0.001913786,0.00002070838,0.03870109,0.41049,0.0004517448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3675078,0.0009939471,0.00007430269,0.004273756,0.0007934631,0.0005141489,0.0001893289,0.00008478586,0.6255684],"genre_scores_gemma":[0.9914963,0.0001219108,0.0002206273,0.002368646,0.00006917642,0.000341485,0.00005357815,0.00003383742,0.005294442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6239885,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869818001874018,"score_gpt":0.2127224060471482,"score_spread":0.184024226028408,"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."}}