{"id":"W1568735961","doi":"","title":"Technological Achievement, High Technology Exports and Growth","year":2009,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technological change; Economics; Per capita; Index (typography); Per capita income; Product (mathematics); International trade; Business; Demographic economics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004610204,0.0001076351,0.000314142,0.0006093284,0.00004176773,0.00004497949,0.0002970301,0.00004987877,0.0001003033],"category_scores_gemma":[0.00002850042,0.0001053797,0.00005703693,0.0001381063,0.0001074342,0.0002720685,0.00007613121,0.0001769146,0.00003952722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008161224,"about_ca_system_score_gemma":0.000003805862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001693892,"about_ca_topic_score_gemma":4.17457e-7,"domain_scores_codex":[0.9990306,0.000009228763,0.0005849815,0.0001996013,0.00004949017,0.0001260546],"domain_scores_gemma":[0.9991581,0.00001539425,0.0006019959,0.0001081798,0.00007376361,0.00004252392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003826026,0.0001549693,0.03727856,0.00000319228,0.0001379537,0.00002915492,0.00003529646,0.0000159123,0.0000210191,0.9585226,0.000951905,0.002811213],"study_design_scores_gemma":[0.000693441,0.0002730894,0.1926218,0.00001744505,0.000007992518,0.0000565328,0.000100685,0.00009409744,0.0004363569,0.7643592,0.0412044,0.0001350298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904974,0.0009914808,0.02139966,0.01976264,0.000580049,0.0001622919,0.00001137407,0.00002442531,0.05209406],"genre_scores_gemma":[0.9940172,0.0003565097,0.004915537,0.0002746603,0.00009574972,0.000003631322,0.000001789264,0.000003200424,0.0003316679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1941634,"threshold_uncertainty_score":0.4297258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000766951142466,"score_gpt":0.2492166873247299,"score_spread":0.2192090178133052,"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."}}