{"id":"W2087965775","doi":"10.3917/riges.313.0028","title":"L'essence de l'excellence de la chaîne logistique : le projet SC2020 du Massachusetts Institute of Technology","year":2006,"lang":"fr","type":"article","venue":"Gestion","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001315638,0.0002343432,0.0002525352,0.0003947221,0.0002447556,0.0001463275,0.0003269438,0.0003604869,0.00006716586],"category_scores_gemma":[0.000428888,0.0002680877,0.00007078111,0.0007404645,0.0005328217,0.0005683094,0.000221945,0.0003347063,0.00006379036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151245,"about_ca_system_score_gemma":0.000133974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007739244,"about_ca_topic_score_gemma":0.0003008731,"domain_scores_codex":[0.9985096,0.00007822279,0.0003559597,0.0003681764,0.0002028725,0.0004851097],"domain_scores_gemma":[0.9991741,0.00006307937,0.0002891716,0.0002959944,0.0001601661,0.00001748982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002893688,0.0003833971,0.7696638,0.001426122,0.00002575925,0.0001124661,0.00008007843,0.02258362,0.002730206,0.1773278,0.01866887,0.006968955],"study_design_scores_gemma":[0.0005745005,0.00002745449,0.03522639,0.0008080425,0.0001048086,0.00002734961,0.0002477571,0.027356,0.0003996945,0.02520193,0.9097101,0.0003159841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05702755,0.002466748,0.1617328,0.759806,0.001016468,0.0005419938,0.000007150869,0.0003421415,0.01705915],"genre_scores_gemma":[0.9871756,0.0002557852,0.003667629,0.0002247908,0.0007202037,0.00004448267,0.00003585996,0.00002730441,0.007848366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.930148,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006721953554176521,"score_gpt":0.2067952598237381,"score_spread":0.2000733062695615,"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."}}