{"id":"W2594368608","doi":"","title":"El desempeño del sector automotriz en México en la era TLCAN: Un análisis a 20 años","year":2014,"lang":"es","type":"article","venue":"Paradigma Económico","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography; Economy; Economics","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":[0.0003996647,0.0002136083,0.0001532049,0.002819434,0.0006771433,0.001318124,0.0004238124,0.0004321144,0.004235555],"category_scores_gemma":[0.001021848,0.0001508637,0.0002876038,0.003116113,0.0003181136,0.0007793932,0.0008632944,0.0003848785,0.0004143335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230654,"about_ca_system_score_gemma":0.001551989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2082995,"about_ca_topic_score_gemma":0.235264,"domain_scores_codex":[0.9997582,0.00002102204,0.00001527373,0.00004587985,0.00006403498,0.00009568641],"domain_scores_gemma":[0.9986295,0.0001534839,0.0007584025,0.0000270033,0.0003264072,0.000105224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152445,0.00007043748,0.9659328,0.0002676086,0.00008791713,0.0006707703,0.003452183,0.0003174199,0.0003257645,0.001929256,0.006933352,0.01986006],"study_design_scores_gemma":[0.00000301664,0.00002222892,0.9733866,0.0001069004,0.0000439896,0.0001602968,0.003815424,0.0001199244,0.0001041813,0.00006311599,0.02216949,0.000004751837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776736,0.003821444,0.0001784284,0.0006624057,0.00002170892,0.00001859886,0.006744706,0.00002137626,0.01085773],"genre_scores_gemma":[0.9739842,0.007727498,0.0002650514,0.0001623736,0.0000693999,0.0000552548,0.007223747,0.00001425232,0.01049813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082995,"threshold_uncertainty_score":0.414174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145131421205973,"score_gpt":0.2120695431129186,"score_spread":0.1975564009923214,"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."}}