{"id":"W2114005599","doi":"10.1109/ems.2000.872515","title":"Multi-layered collaborative procurement planning and optimization","year":2002,"lang":"en","type":"article","venue":"Proceedings of the 2000 IEEE Engineering Management Society. EMS - 2000 (Cat. No.00CH37139)","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Procurement; Supply chain; Business; Supply chain management; Prime (order theory); Process management; Computer science; Systems engineering; Engineering; Marketing","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"],"consensus_categories":[],"category_scores_codex":[0.0005453894,0.000501202,0.0004262695,0.0002566988,0.0003786197,0.0005270821,0.0005235554,0.0001276681,0.0002020506],"category_scores_gemma":[0.00007513312,0.0004439828,0.0001933039,0.001186763,0.00007503605,0.001622157,0.0002440239,0.0001739348,0.00006678927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946329,"about_ca_system_score_gemma":0.00001634765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005967382,"about_ca_topic_score_gemma":0.000001432508,"domain_scores_codex":[0.9974419,0.000005647807,0.0007029561,0.0005464807,0.0006806221,0.0006224251],"domain_scores_gemma":[0.9986533,0.00002202732,0.0006152828,0.000220853,0.0004357446,0.00005280584],"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":[0.0001565935,0.001407984,0.04031219,0.01210107,0.003103334,0.000008914683,0.01559718,0.4437754,0.06570314,0.005207734,0.4091555,0.003470965],"study_design_scores_gemma":[0.002107206,0.00003920954,0.004581464,0.0005564475,0.0002244264,0.000002861242,0.002191608,0.9707997,0.000510336,0.00002294548,0.01826273,0.0007010167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547568,0.001683732,0.04029711,0.00880984,0.008876838,0.01801252,0.0001361898,0.0033809,0.06404601],"genre_scores_gemma":[0.8818433,0.0004389685,0.1032255,0.001629968,0.001611843,0.0004418136,0.0000322515,0.0002658928,0.01051047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5270244,"threshold_uncertainty_score":0.9998012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227764702777334,"score_gpt":0.2264874084475799,"score_spread":0.2042097614198066,"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."}}