{"id":"W2051202478","doi":"10.4102/jtscm.v7i1.87","title":"Supplier evaluation: The first step in effective sourcing","year":2013,"lang":"en","type":"article","venue":"Journal of Transport and Supply Chain Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Univerzita Pardubice","keywords":"Purchasing; Business; Quality (philosophy); Process management; Supplier evaluation; Supplier relationship management; Marketing; Selection (genetic algorithm); Strategic sourcing; Risk analysis (engineering); Supply chain; Operations management; Industrial organization; Computer science; Supply chain management; Strategic planning; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06628935,0.001771657,0.002670153,0.005436805,0.006134887,0.01638022,0.002792145,0.003936327,0.01339306],"category_scores_gemma":[0.06416831,0.001185159,0.001016952,0.004064793,0.003900408,0.01230619,0.006325525,0.005961046,0.00680946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005432572,"about_ca_system_score_gemma":0.02522325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002981987,"about_ca_topic_score_gemma":0.0026735,"domain_scores_codex":[0.9434724,0.02156133,0.002598687,0.001573324,0.02907266,0.00172155],"domain_scores_gemma":[0.9381931,0.03238289,0.00360489,0.003439938,0.01934768,0.003031518],"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":[0.0003250409,0.0007904847,0.0062102,0.00318445,0.0001802911,0.0005598056,0.009431656,0.003433799,0.009300569,0.145458,0.04799755,0.7731282],"study_design_scores_gemma":[0.0001967075,0.00218183,0.01618586,0.008158665,0.0002677171,0.001357249,0.02234596,0.01803624,0.02885553,0.4285479,0.4731645,0.0007019299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03596218,0.01382294,0.6749156,0.04629346,0.001850416,0.004762823,0.0004617834,0.001897013,0.2200337],"genre_scores_gemma":[0.2505795,0.008099398,0.7029864,0.004468979,0.0007881662,0.001905654,0.0005480224,0.0007155383,0.02990845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06628935,"threshold_uncertainty_score":0.3505758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525209950420075,"score_gpt":0.3373487512994666,"score_spread":0.2920966517952658,"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."}}