{"id":"W6995760400","doi":"","title":"Perspectivas económicas, Mayo 2010 Las Américas Aprovechando el viento a favor","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Commodity; Global imbalances; Emerging markets; Face (sociological concept); Carry (investment)","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":[0.00104965,0.0003946388,0.0002757943,0.0007910904,0.003121502,0.007896724,0.0004096565,0.002415315,0.01291425],"category_scores_gemma":[0.001538737,0.0001468429,0.0003761893,0.001488329,0.002075823,0.002386762,0.001385142,0.003116346,0.001205468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005095272,"about_ca_system_score_gemma":0.004059179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1034353,"about_ca_topic_score_gemma":0.139176,"domain_scores_codex":[0.999477,0.0001115382,0.00001382842,0.00007019213,0.0001530032,0.0001744718],"domain_scores_gemma":[0.9996811,0.00005723923,0.00004316851,0.00002572363,0.0001337711,0.00005897313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001225177,0.0000731494,0.007875312,0.0001920239,0.00003262222,0.0005213401,0.001723054,0.0007737159,0.0006559757,0.7148709,0.2209746,0.05218484],"study_design_scores_gemma":[0.00001180735,0.00001390365,0.006381269,0.0002378994,0.0000121461,0.00008595563,0.002186466,0.0001770696,0.0001245194,0.0201147,0.970641,0.00001339697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04687867,0.0544835,0.001257496,0.3293156,0.00389825,0.00002758123,0.002011166,0.00009264959,0.5620351],"genre_scores_gemma":[0.5990328,0.08854014,0.002726923,0.05080285,0.005371579,0.00008624277,0.001407837,0.0001348605,0.2518968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1034353,"threshold_uncertainty_score":0.2056665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00564069971733736,"score_gpt":0.2146571442336393,"score_spread":0.209016444516302,"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."}}