{"id":"W2338059998","doi":"10.1007/978-1-4471-6778-5_1","title":"A Multicriteria Multistep Approach for Evaluating Supplier Quality in Large Data Sets","year":2015,"lang":"en","type":"book-chapter","venue":"Springer series in reliability engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Outsourcing; Purchasing; Procurement; Business; Quality (philosophy); Industrial organization; Supplier relationship management; Process management; Purchasing decision; Operations management; Operations research; Marketing; Supply chain; Supply chain management; Engineering","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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03613971,0.001061458,0.002226401,0.001204599,0.0001184224,0.0005661126,0.004018837,0.000947644,0.0004004083],"category_scores_gemma":[0.04087057,0.001036574,0.000317815,0.0004349978,0.0001811338,0.001320216,0.003946866,0.001343304,0.00006299166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008728779,"about_ca_system_score_gemma":0.0003043682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009523698,"about_ca_topic_score_gemma":0.0003353762,"domain_scores_codex":[0.9878081,0.0003066519,0.004245769,0.003462547,0.002963805,0.001213122],"domain_scores_gemma":[0.9875469,0.003893971,0.0007891634,0.006513378,0.0009331291,0.000323467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006935746,0.002568614,0.03302507,0.01000902,0.0005626107,0.0004198104,0.01966359,0.6109858,0.006738353,0.09113188,0.01064787,0.2073116],"study_design_scores_gemma":[0.002910879,0.00009411094,0.00488064,0.0005611797,0.00003793237,0.00001493397,0.000393041,0.8488013,0.00002932449,0.01099068,0.1296332,0.001652776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.151388,0.00829167,0.6928952,0.001033661,0.02096702,0.02911002,0.02030116,0.001983796,0.0740295],"genre_scores_gemma":[0.1893687,0.00004392133,0.7853684,0.0000686759,0.0004885114,0.000506175,0.0009747868,0.000462216,0.02271855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2378155,"threshold_uncertainty_score":0.9992085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.360504467377929,"score_gpt":0.4772084031996464,"score_spread":0.1167039358217174,"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."}}