{"id":"W2012551371","doi":"10.5539/ibr.v5n6p24","title":"Technological Profiles and Technology Trade Flows for Some European and OECD Countries","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Context (archaeology); Globalization; European union; International trade; International economics; Foreign direct investment; Technological change; Economics; Investment (military); Balance of trade; Business; Political science; Geography; Macroeconomics; Market economy; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393482,0.0002034144,0.0001730753,0.005008278,0.0003443084,0.001725191,0.0001051461,0.0002529723,0.002851469],"category_scores_gemma":[0.001791117,0.00007244607,0.0004332898,0.007675729,0.0002725103,0.001089565,0.0006660434,0.0002425504,0.0005760542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336722,"about_ca_system_score_gemma":0.0003016907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458309,"about_ca_topic_score_gemma":0.002914056,"domain_scores_codex":[0.9996964,0.00005513606,0.00004513971,0.00005678627,0.0000671731,0.0000793546],"domain_scores_gemma":[0.9983779,0.0004216574,0.000806676,0.00008678491,0.0001968565,0.0001101246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003036912,0.0000610332,0.9493673,0.0001415009,0.000203398,0.0004890446,0.000990737,0.002772623,0.000556068,0.006792859,0.001870168,0.03645153],"study_design_scores_gemma":[0.000009853869,0.00006067653,0.9792571,0.0000767201,0.00008450953,0.0004311719,0.002332167,0.0008833323,0.00071399,0.001791061,0.01434059,0.00001877602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802204,0.001713895,0.0003661462,0.0001353526,0.000009829663,0.000009501758,0.0043319,0.00002244563,0.01319055],"genre_scores_gemma":[0.9914488,0.001431204,0.0003731062,0.00002886733,0.00001649009,0.000014622,0.004697223,0.00001159198,0.001978068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005008278,"threshold_uncertainty_score":0.009539068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08131043971398123,"score_gpt":0.304869510396815,"score_spread":0.2235590706828338,"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."}}