{"id":"W4230745749","doi":"10.1007/978-3-540-92786-0_6","title":"Clustering Internationalisation","year":2009,"lang":"en","type":"book-chapter","venue":"Advances in spatial science","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interdependence; Internationalization; Economic geography; Regional science; Scale (ratio); Cluster (spacecraft); Cluster analysis; Political science; Business; Geography; International trade; Computer science; Cartography; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006976,0.0001357763,0.0001399563,0.0003077758,0.0003254618,0.00009524875,0.0006224717,0.0001009872,0.0006188955],"category_scores_gemma":[0.0001028372,0.0001412216,0.00003802013,0.0001547482,0.0009293967,0.0009390188,0.00005319813,0.0001560807,0.0001202342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178625,"about_ca_system_score_gemma":0.0005200378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026146,"about_ca_topic_score_gemma":0.01724904,"domain_scores_codex":[0.9981691,0.0000164053,0.0002392196,0.0003348947,0.0009538037,0.000286589],"domain_scores_gemma":[0.999499,0.00006999267,0.0001393691,0.0001146387,0.00008593527,0.00009103297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007102246,0.00000360426,0.0001109083,0.000002806373,5.935232e-7,0.000003748586,0.001407915,0.0001190169,0.000003196624,0.3949952,0.00005396613,0.6032919],"study_design_scores_gemma":[0.00006287119,0.0000126171,0.0008642185,0.0001210439,0.000001526697,5.881417e-7,0.00002150453,0.00006725322,0.000004265255,0.1376937,0.860965,0.0001854232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007162254,0.0004344274,0.000369475,0.0009051044,0.0006538404,0.000168719,0.000002693365,0.00003368493,0.9973604],"genre_scores_gemma":[0.1785469,0.01730097,0.001677551,0.0008684534,0.001671746,0.00001305446,0.00002316866,0.00002129334,0.7998769],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.860911,"threshold_uncertainty_score":0.9625368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706664044072303,"score_gpt":0.3517826619937601,"score_spread":0.324716021553037,"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."}}