{"id":"W1565224263","doi":"","title":"A Strategic Approach to International Training: A Contingency Based Global Training Model","year":2013,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Generalizability theory; Internationalization; Matching (statistics); Contingency; Contingency theory; Knowledge management; Computer science; Business; Operations research; Process management; Management science; Engineering; Psychology; International trade; Mathematics; Epistemology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000645106,0.0002876198,0.0003814045,0.0008650596,0.0001065891,0.0007784694,0.001060446,0.0000438164,0.0004360328],"category_scores_gemma":[0.00003268632,0.0002600081,0.0001992939,0.0006300689,0.00004641635,0.001117922,0.0002497288,0.0001932772,0.0003430585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571699,"about_ca_system_score_gemma":0.000054864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001140597,"about_ca_topic_score_gemma":0.000007519221,"domain_scores_codex":[0.9974106,0.00001959196,0.0009609505,0.0003083173,0.0009829868,0.0003175395],"domain_scores_gemma":[0.9974583,0.00002178462,0.0007949628,0.0001641644,0.001512646,0.00004818922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001183634,0.0004459632,0.0004615741,0.00004165418,0.0004889965,0.00001321946,0.0005806639,0.02089784,0.00005619958,0.9586475,0.0139475,0.0043005],"study_design_scores_gemma":[0.00306143,0.00005945926,0.003699085,0.0001881045,0.0001146803,0.00001174369,0.01788776,0.8164698,0.00001050868,0.07411642,0.08382559,0.0005553767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02953433,0.00001176782,0.07990643,0.003541974,0.001627217,0.0005416023,0.00000441142,0.00004795979,0.8847843],"genre_scores_gemma":[0.9706818,0.000001829371,0.02215577,0.004522301,0.001117554,0.00008010247,0.00002951164,0.00001691552,0.001394248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9411474,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505067103546801,"score_gpt":0.3176664392130065,"score_spread":0.1671597288583264,"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."}}