{"id":"W2047424684","doi":"10.1002/cjas.3","title":"Human capital and SME internationalization: a structural equation modeling study","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":245,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internationalization; Structural equation modeling; Perception; Business; Orientation (vector space); International business; Human capital; Capital (architecture); International market; Industrial organization; Business administration; Management; Economics; International trade; Psychology; Computer science; Market economy; Mathematics; Geography","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":[0.005073416,0.0004868449,0.0005231191,0.001201581,0.0007964677,0.002045173,0.0007053128,0.0007838431,0.005151875],"category_scores_gemma":[0.01573702,0.000347817,0.0007424562,0.001499794,0.0010994,0.001454205,0.001717816,0.001712949,0.0004170674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418509,"about_ca_system_score_gemma":0.002322618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117174,"about_ca_topic_score_gemma":0.009616802,"domain_scores_codex":[0.9978335,0.00145596,0.00008758512,0.0001671321,0.0002251854,0.00023065],"domain_scores_gemma":[0.9788107,0.01652334,0.00236375,0.0005681327,0.0008008915,0.000933127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002195338,0.001769096,0.9469647,0.0001038005,0.0004370499,0.000341756,0.006946755,0.01654721,0.000280461,0.009535587,0.001886356,0.01496771],"study_design_scores_gemma":[0.0002584531,0.001691456,0.6262397,0.0005742289,0.0005856429,0.0003614812,0.01665986,0.3288288,0.0009247134,0.01863395,0.005119302,0.0001223906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952189,0.00008163151,0.001898114,0.0007433201,0.00001318221,0.00004178983,0.000204768,0.00001531693,0.00178295],"genre_scores_gemma":[0.998839,0.00006700567,0.0005613174,0.0000361136,0.000007657731,0.00004039678,0.000145926,0.00000300999,0.0002995801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117174,"threshold_uncertainty_score":0.02683109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171402634998409,"score_gpt":0.3302127167603152,"score_spread":0.2130724532604743,"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."}}