{"id":"W2981446419","doi":"","title":"Vínculos productivos en América del Norte","year":2019,"lang":"es","type":"article","venue":"Sede Subregional de la CEPAL en México (Estudios e Investigaciones)","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; European union; Political science; Humanities; Business; Art; International trade","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":[0.0003885046,0.0002555914,0.0001731554,0.002245901,0.001389256,0.001719299,0.0003202183,0.000217487,0.006585304],"category_scores_gemma":[0.0006390589,0.0001465193,0.0002052392,0.003101289,0.000404042,0.0006534321,0.0006613671,0.000289044,0.0006528414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003967518,"about_ca_system_score_gemma":0.002719962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3656568,"about_ca_topic_score_gemma":0.5797183,"domain_scores_codex":[0.9997614,0.0000313351,0.000009851699,0.00005828964,0.00008397055,0.0000550654],"domain_scores_gemma":[0.9994408,0.00005544231,0.0001568252,0.00003020158,0.0002392237,0.00007748841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007497324,0.0002732401,0.5868468,0.001304631,0.0001758113,0.001850874,0.01642541,0.001297051,0.0242682,0.03420312,0.01697223,0.315633],"study_design_scores_gemma":[0.00001745869,0.0001172751,0.6749357,0.0003190848,0.00009232633,0.0003425109,0.007832408,0.0003716432,0.002933692,0.001005756,0.3120139,0.00001812842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343361,0.01697669,0.0005799835,0.001141591,0.00004429574,0.00005940763,0.003854389,0.00007224984,0.1429354],"genre_scores_gemma":[0.9284143,0.01582898,0.001558544,0.0002961901,0.0000284829,0.00007195649,0.002529367,0.0000237588,0.05124842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6343432,"threshold_uncertainty_score":0.7270569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158551288514988,"score_gpt":0.2745012934786025,"score_spread":0.2629157805934526,"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."}}