{"id":"W4408906315","doi":"10.1287/inte.2023.0073","title":"OCP Optimizes Its Supply Chain for Africa","year":2025,"lang":"en","type":"article","venue":"INFORMS Journal on Applied Analytics","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Supply chain; Business; Chain (unit); Marketing; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001453914,0.001401585,0.0009093476,0.00134524,0.0008756225,0.002345023,0.0008455692,0.001017698,0.01326414],"category_scores_gemma":[0.003129114,0.0007134199,0.0009089083,0.002571726,0.0005256743,0.001428102,0.001375302,0.001087399,0.001467668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476731,"about_ca_system_score_gemma":0.003855259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918064,"about_ca_topic_score_gemma":0.02203409,"domain_scores_codex":[0.999306,0.0002294602,0.00002899298,0.0001380019,0.000165632,0.0001320874],"domain_scores_gemma":[0.9990707,0.0003824429,0.00009694966,0.0001303965,0.0002410026,0.00007846717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001655185,0.00007882003,0.001518118,0.0002101871,0.00005896967,0.0001020383,0.00008688,0.8498715,0.001085455,0.01729204,0.008581522,0.120949],"study_design_scores_gemma":[0.000031839,0.00008466735,0.0003813948,0.00002921308,0.00001755768,0.00002543557,0.00007428512,0.9773168,0.0007392931,0.01251404,0.00877649,0.000009024227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1451304,0.001315358,0.7612515,0.002459447,0.0003245283,0.0007741686,0.003498263,0.003267451,0.08197882],"genre_scores_gemma":[0.4948473,0.0008589013,0.4793933,0.0002548277,0.00009702285,0.0003943682,0.002723873,0.0006800954,0.02075029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01918064,"threshold_uncertainty_score":0.04437298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710053685614881,"score_gpt":0.2330153989168117,"score_spread":0.2159148620606628,"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."}}