{"id":"W4407607833","doi":"10.20944/preprints202502.1110.v1","title":"Leveraging Technology for Agile and Coordinated Responses to Supply Chain Disruptions","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Supply chain; Agile software development; Business; Process management; Supply chain management; Knowledge management; Context (archaeology); Resilience (materials science); Dynamic capabilities; Risk analysis (engineering); Industrial organization; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003810099,0.0005356299,0.0001839966,0.001682681,0.001245263,0.00512842,0.000799901,0.001117644,0.002347832],"category_scores_gemma":[0.008543842,0.0002780002,0.0004440924,0.001224697,0.002706234,0.006159944,0.004794188,0.001190902,0.0006136087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314437,"about_ca_system_score_gemma":0.002842018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009227629,"about_ca_topic_score_gemma":0.001242831,"domain_scores_codex":[0.9959902,0.002097873,0.0001861692,0.0003233705,0.0009775128,0.0004248226],"domain_scores_gemma":[0.9933853,0.003159646,0.001429638,0.001115199,0.0005796715,0.0003304908],"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":[0.0001928583,0.0003409343,0.04277897,0.001187362,0.0003027696,0.00316229,0.04069139,0.04362552,0.04632531,0.2370957,0.005891434,0.5784056],"study_design_scores_gemma":[0.0001296139,0.001478285,0.03789401,0.002473041,0.0004031037,0.00518044,0.06474175,0.09648854,0.04759875,0.3928546,0.3504087,0.0003491517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4079939,0.003327759,0.467777,0.01127906,0.000245258,0.0004568619,0.00007552428,0.0007452401,0.1080995],"genre_scores_gemma":[0.9231091,0.001480574,0.07158981,0.0003333968,0.00005994932,0.00009634544,0.00003823289,0.00004908901,0.003243537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00512842,"threshold_uncertainty_score":0.02014995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106128644504675,"score_gpt":0.3378566674239585,"score_spread":0.2667953809789118,"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."}}