{"id":"W2014558297","doi":"10.1108/00483480510571879","title":"Cross‐cultural training to facilitate expatriate adjustment: it works!","year":2005,"lang":"en","type":"article","venue":"Personnel Review","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Expatriate; Moderation; Originality; German; Sample (material); Psychology; Value (mathematics); Cross-cultural; Business; Social psychology; Sociology; Political science; History; Statistics; Mathematics; Law; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002996362,0.0002382415,0.0003661044,0.0003537739,0.001015492,0.00146147,0.0005973584,0.0004959348,0.009268368],"category_scores_gemma":[0.01900407,0.0001194902,0.0003891388,0.0006098432,0.0006977408,0.0008321608,0.001709825,0.0008566509,0.000639996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466677,"about_ca_system_score_gemma":0.002757549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003934495,"about_ca_topic_score_gemma":0.008034069,"domain_scores_codex":[0.9975024,0.001661309,0.00009543901,0.0001159964,0.000271628,0.0003532775],"domain_scores_gemma":[0.9900982,0.003525621,0.001996521,0.0008828713,0.001323658,0.002172991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008312729,0.002070702,0.1383169,0.003935743,0.0004250022,0.0006519837,0.01721642,0.000268961,0.002285726,0.001421678,0.008890191,0.8236854],"study_design_scores_gemma":[0.0003061007,0.004022563,0.8397061,0.007232314,0.0006473243,0.001784815,0.06989416,0.0003646768,0.003496713,0.001916875,0.07054484,0.00008359498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006888,0.04014543,0.002106271,0.01537096,0.0009055726,0.000333628,0.00008070272,0.0001066902,0.04026211],"genre_scores_gemma":[0.9845583,0.00794147,0.001716141,0.001592526,0.0001718796,0.0001183445,0.0000253335,0.00001823439,0.003857805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009268368,"threshold_uncertainty_score":0.0310058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1970732309530557,"score_gpt":0.4097551856032856,"score_spread":0.2126819546502299,"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."}}