{"id":"W1998299333","doi":"10.1007/s10726-006-9042-x","title":"The Effects of Cultural Diversity in Virtual Teams Versus Face-to-Face Teams","year":2006,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":285,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Diversity (politics); Team effectiveness; Collectivism; Cultural diversity; Homogeneous; Psychology; Knowledge management; Individualism; Team composition; Virtual team; Psychological safety; Task (project management); Social psychology; Applied psychology; Computer science; Sociology; Engineering; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000223935,0.00009575111,0.0001186288,0.00007020219,0.0002089604,0.00002672761,0.0001442915,0.00008642086,0.00001546185],"category_scores_gemma":[0.00007158965,0.00006735283,0.00003601474,0.0001995866,0.00004025607,0.0001071548,0.0001300586,0.0001087434,0.0000444108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004956213,"about_ca_system_score_gemma":0.000004558111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006472404,"about_ca_topic_score_gemma":0.0008059018,"domain_scores_codex":[0.9992028,0.00005885442,0.0001940427,0.000191101,0.0001865225,0.0001666266],"domain_scores_gemma":[0.999159,0.0005228335,0.00008035636,0.000172248,0.00002628915,0.00003929368],"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":[0.0037198,0.0004094536,0.1976448,0.00002530563,0.00004913269,0.00001079624,0.01505044,0.001203443,0.002491609,0.03061021,0.008987014,0.7397981],"study_design_scores_gemma":[0.002731944,0.0005070931,0.9892779,0.00002909808,0.00001111313,0.000001814197,0.001852368,0.002408476,0.00007388325,0.0005371828,0.00244057,0.0001285703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936916,0.0002296678,0.003574973,0.00008384569,0.001337179,0.0002310336,0.000005760438,0.0000162062,0.0008297866],"genre_scores_gemma":[0.9993504,0.0000703176,0.00006492568,0.00004083757,0.0000509017,0.00000649283,0.00001250023,0.000005363828,0.0003982201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7916331,"threshold_uncertainty_score":0.2746569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989681300725125,"score_gpt":0.279373752656166,"score_spread":0.2694769396489147,"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."}}