{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002796351,0.0008391388,0.0008511721,0.0005246831,0.0008737277,0.00038961,0.001119575,0.0009138185,0.0001935988],"category_scores_gemma":[0.0009330679,0.0008331519,0.0003838462,0.002048574,0.001404961,0.001121708,0.0003613076,0.001096376,0.001837944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008987301,"about_ca_system_score_gemma":0.002119215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003980489,"about_ca_topic_score_gemma":0.00007700756,"domain_scores_codex":[0.9924166,0.00183469,0.001005558,0.001381619,0.002086046,0.001275467],"domain_scores_gemma":[0.9964383,0.001187794,0.0005712693,0.0006595288,0.0005955721,0.0005475252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000233935,0.0006716446,0.4155526,0.0003270081,0.0005289631,0.00009061091,0.01489783,0.0002624193,0.006562619,0.5368634,0.01852297,0.005486011],"study_design_scores_gemma":[0.001480468,0.0002105062,0.5213617,0.0004607248,0.0001052138,0.0001118314,0.002324929,0.0003455111,0.0004096587,0.01195368,0.4600168,0.001218984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894716,0.0002748613,0.0001316199,0.03090924,0.001684868,0.001572427,0.0000279893,0.0002798512,0.07040319],"genre_scores_gemma":[0.9801047,0.004678042,0.001847493,0.002555528,0.002646758,0.0001635607,0.0001242192,0.0001153255,0.007764371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5249097,"threshold_uncertainty_score":0.9994119,"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."}}