{"id":"W2979505746","doi":"10.7202/1063704ar","title":"From Europe to North America to Asia: Overcoming the Hurdles of Interdisciplinary Multicultural Teams Through a Design-Driven Process","year":2019,"lang":"en","type":"article","venue":"Management international","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Multiculturalism; Process (computing); Context (archaeology); Knowledge management; Product (mathematics); Process management; Product design; New product development; Engineering; Computer science; Sociology; Business; Marketing; Geography; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01745073,0.0006263061,0.0002705607,0.001053112,0.008573435,0.007217502,0.001074823,0.0009238709,0.00202117],"category_scores_gemma":[0.0142923,0.0003864206,0.0005186329,0.0007264165,0.003962566,0.003986001,0.011424,0.001790954,0.0005647393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523197,"about_ca_system_score_gemma":0.01035283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003661791,"about_ca_topic_score_gemma":0.007173196,"domain_scores_codex":[0.9917701,0.005951928,0.0002835547,0.0005069441,0.0007148497,0.0007726848],"domain_scores_gemma":[0.9905577,0.003507746,0.0008132674,0.00131997,0.001765924,0.002035397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002169914,0.0008983362,0.04255497,0.0005407814,0.0001168894,0.002796592,0.412723,0.003606466,0.009487702,0.03101075,0.00620718,0.4898404],"study_design_scores_gemma":[0.0001531839,0.001225832,0.03317966,0.001230779,0.0001695274,0.001969228,0.6323731,0.00438355,0.01306989,0.05329255,0.2587779,0.0001747867],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8874617,0.001400731,0.04445412,0.008291785,0.000315086,0.0006268815,0.00002133396,0.0001934778,0.05723506],"genre_scores_gemma":[0.9538088,0.0006154691,0.03743629,0.001606371,0.00003622756,0.0002503264,0.00003442856,0.00007374448,0.006138278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01745073,"threshold_uncertainty_score":0.09228939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797478754411656,"score_gpt":0.2716195916962726,"score_spread":0.253644804152156,"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."}}