{"id":"W2765535489","doi":"10.1016/j.bushor.2017.09.009","title":"Innovation sourcing excellence: Three purchasing capabilities for success","year":2017,"lang":"en","type":"article","venue":"Business Horizons","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Purchasing; Business; Strategic sourcing; Marketing; Excellence; Supply chain; Benchmark (surveying); Competitive advantage; Operational excellence; Knowledge management; Industrial organization; Process management; Computer science; Strategic planning","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008573392,0.0002979572,0.0003208717,0.0005332096,0.002345594,0.00203166,0.0007722203,0.0001050093,0.00007903662],"category_scores_gemma":[0.001135461,0.0002887481,0.00009183251,0.0005731021,0.000199742,0.002243795,0.0004143105,0.00012948,0.00006844322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362126,"about_ca_system_score_gemma":0.00004085245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250079,"about_ca_topic_score_gemma":0.0004149612,"domain_scores_codex":[0.9981853,0.000006047763,0.0004247637,0.0004992802,0.000344204,0.0005403869],"domain_scores_gemma":[0.9976588,0.00008209345,0.0005184616,0.0008845396,0.0008429779,0.00001310538],"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":[0.0002613207,0.0004119886,0.4101541,0.00415408,0.0001893533,0.00003239332,0.0005082251,0.004538951,0.001662698,0.4197286,0.02440884,0.1339494],"study_design_scores_gemma":[0.003272883,0.00004196956,0.3908561,0.0007324959,0.0003205262,0.000004769799,0.002014306,0.0423281,0.0002352092,0.06138869,0.4969618,0.001843148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6890308,0.0000881297,0.2415765,0.03038394,0.003814869,0.001490398,0.0000167067,0.0005729254,0.03302576],"genre_scores_gemma":[0.9939713,0.000006234299,0.0007014669,0.0004590038,0.003479011,0.0001642288,0.00006712499,0.0000660844,0.001085579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725529,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235862950859259,"score_gpt":0.2575084272227257,"score_spread":0.2251497977141331,"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."}}