{"id":"W2768804747","doi":"10.1016/j.ibusrev.2017.11.003","title":"Bridging what we know: The effect of cognitive distance on knowledge-intensive business services produced offshore","year":2017,"lang":"en","type":"article","venue":"International Business Review","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Offshoring; Business; Modularity (biology); Industrial organization; Production (economics); Service (business); Service provider; Affect (linguistics); Knowledge management; Cognition; Marketing; Economics; Computer science; Psychology; Outsourcing; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008230442,0.0003631168,0.0005762874,0.0001706779,0.000444123,0.001031779,0.001295307,0.00004550071,0.0001305565],"category_scores_gemma":[0.001640209,0.0002336987,0.0001663284,0.0004241535,0.0001763037,0.001738224,0.0005893601,0.0001699807,0.0003643953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004552288,"about_ca_system_score_gemma":0.00002094266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002117326,"about_ca_topic_score_gemma":0.0000695775,"domain_scores_codex":[0.9981755,0.00004763997,0.0004782974,0.0005065773,0.0005312594,0.000260718],"domain_scores_gemma":[0.9953294,0.0002365108,0.0009174363,0.0007120174,0.002791021,0.00001359933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004213386,0.0002197014,0.04699052,0.03582086,0.0005531675,0.00006685747,0.0002052334,0.0002532233,0.00004524087,0.002639617,0.01187444,0.9009098],"study_design_scores_gemma":[0.001996963,0.00003753832,0.2182496,0.2311194,0.0008938933,0.0000136072,0.0003996442,0.006489834,0.0002934483,0.0002617792,0.5393435,0.0009006948],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1728965,0.2570225,0.004218792,0.4776781,0.02197007,0.009206683,0.00007906251,0.0005563941,0.05637187],"genre_scores_gemma":[0.9633365,0.03084024,0.000004198852,0.003028569,0.001653711,0.0001414165,0.0001193824,0.00004318588,0.0008327423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9000091,"threshold_uncertainty_score":0.9949468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149753271103222,"score_gpt":0.2832856594456803,"score_spread":0.2683103323353581,"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."}}