{"id":"W4297906262","doi":"10.3917/riges.473.0064","title":"La mutation des chaînes d’approvisionnement","year":2022,"lang":"fr","type":"article","venue":"Gestion","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00191007,0.0007532749,0.0004928323,0.001401025,0.001364591,0.00372258,0.001128618,0.001577574,0.01935266],"category_scores_gemma":[0.01139245,0.0005537231,0.001507934,0.001202762,0.002020583,0.003150765,0.002199311,0.00223901,0.003919689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789644,"about_ca_system_score_gemma":0.00164127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007503049,"about_ca_topic_score_gemma":0.005547483,"domain_scores_codex":[0.9973628,0.0005133094,0.0001442963,0.0005957825,0.001131632,0.0002521476],"domain_scores_gemma":[0.9926737,0.002508455,0.0004803143,0.002104473,0.001893759,0.0003392843],"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":[0.0003181719,0.000202873,0.01039101,0.0003678826,0.0001724191,0.001275433,0.002170353,0.1022899,0.05358056,0.5159579,0.005730643,0.3075429],"study_design_scores_gemma":[0.00009546142,0.0005527521,0.008693795,0.0003478237,0.0001745916,0.001762891,0.001241302,0.3840884,0.06963072,0.3100836,0.2231203,0.0002084707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1746574,0.0007179162,0.7560053,0.0008859157,0.0004579012,0.0002198528,0.00044316,0.001440305,0.06517234],"genre_scores_gemma":[0.6134382,0.0007557867,0.3219145,0.0002288469,0.0001075616,0.0002268489,0.0008308858,0.0008832427,0.06161399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01935266,"threshold_uncertainty_score":0.06474108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143773434893307,"score_gpt":0.2574345261187758,"score_spread":0.2359967917698428,"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."}}