{"id":"W2016782638","doi":"10.1111/j.1465-7287.2008.00133.x","title":"IS NORTH‐SOUTH TRADE‐RELATED TECHNOLOGY DIFFUSION REGIONAL?","year":2009,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Latin Americans; Index (typography); Diffusion; International trade; Dimension (graph theory); Economic geography; Economics; International economics; Regional trade; Developing country; Geography; Free trade; Economic growth; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283031,0.0001522676,0.000387502,0.0009202619,0.0005265664,0.002293531,0.0002846547,0.0005374994,0.00765059],"category_scores_gemma":[0.003745068,0.0001380034,0.0005870216,0.001781244,0.001648596,0.002452696,0.001268184,0.0006974237,0.0006789659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008164734,"about_ca_system_score_gemma":0.0006157177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002847947,"about_ca_topic_score_gemma":0.002952863,"domain_scores_codex":[0.9995108,0.0001098704,0.00003218492,0.0001634755,0.00007727575,0.0001063655],"domain_scores_gemma":[0.9960748,0.001466325,0.0015942,0.0003148051,0.0003506998,0.0001991869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005400187,0.0001439656,0.5522335,0.0009087331,0.0005389716,0.001713853,0.008416431,0.005793304,0.009810523,0.2813874,0.00487591,0.1336375],"study_design_scores_gemma":[0.00009860597,0.0001670676,0.7323165,0.000531196,0.0004459225,0.002361644,0.01079625,0.007308125,0.005441958,0.1687434,0.07171587,0.00007337865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774869,0.005253402,0.008927054,0.00758094,0.00005799402,0.00002752752,0.0003423189,0.00006131982,0.1002627],"genre_scores_gemma":[0.9965872,0.001297913,0.0006653687,0.0002406033,0.00004075815,0.000006573542,0.00007037658,0.000008773231,0.001082495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00765059,"threshold_uncertainty_score":0.02559376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04215925848294869,"score_gpt":0.2295850366063076,"score_spread":0.1874257781233589,"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."}}