{"id":"W1493250893","doi":"","title":"The Emergence and Impact of MNC Centres of Excellence: A Subsidiary Perspective","year":2000,"lang":"en","type":"book","venue":"","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Subsidiary; Multinational corporation; Competence (human resources); Business; Center of excellence; Management; Political science; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846397,0.0002499555,0.0003454771,0.002551935,0.001912656,0.00783573,0.0008224839,0.001634152,0.004248356],"category_scores_gemma":[0.004606003,0.0002608419,0.000296179,0.004637056,0.006446193,0.004342609,0.003387593,0.001801211,0.0002657629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01650687,"about_ca_system_score_gemma":0.005660222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03816858,"about_ca_topic_score_gemma":0.03168534,"domain_scores_codex":[0.9975774,0.001002389,0.00009044957,0.0002347608,0.0005014129,0.0005936364],"domain_scores_gemma":[0.9959674,0.001960074,0.0005844219,0.0001747659,0.0007635257,0.0005498042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000238931,0.00004657648,0.009924129,0.0001626343,0.00001055187,0.0004816189,0.007584659,0.001269673,0.0002294265,0.952661,0.00749224,0.02011353],"study_design_scores_gemma":[0.00004703164,0.0002924893,0.213659,0.001214993,0.0000522935,0.001766658,0.05127603,0.004926228,0.0009775421,0.1428336,0.5828769,0.00007723144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.323138,0.04157118,0.005452825,0.04377564,0.0001946968,0.0001146852,0.0002818009,0.00005054679,0.5854206],"genre_scores_gemma":[0.980313,0.007456046,0.0009979927,0.0005549837,0.0001386519,0.00002782224,0.00004350597,0.000008798741,0.01045932],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03816858,"threshold_uncertainty_score":0.1197663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828274131570082,"score_gpt":0.3371506950221966,"score_spread":0.3188679537064958,"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."}}