{"id":"W4408063460","doi":"10.1504/ijlsm.2025.144698","title":"Designing a robust multi-objective blood supply chain network with permanent and mobile facilities for disaster relief","year":2025,"lang":"en","type":"article","venue":"International Journal of Logistics Systems and Management","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Supply chain; Operations management; Supply chain management; Computer science; Marketing; Economics","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":[0.0009798477,0.0009334984,0.0007804931,0.0007964168,0.0007278229,0.001118122,0.001085445,0.001474808,0.002789783],"category_scores_gemma":[0.001585847,0.0006549784,0.0007387583,0.0008201771,0.0005611168,0.001243283,0.001346521,0.0007381144,0.0003057055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009906541,"about_ca_system_score_gemma":0.001258955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004951779,"about_ca_topic_score_gemma":0.004618295,"domain_scores_codex":[0.9994717,0.0001973396,0.00001688501,0.0001099264,0.0001036405,0.0001003962],"domain_scores_gemma":[0.9994377,0.0002332203,0.0001422601,0.00002657305,0.0001004048,0.00005979633],"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":[0.00003150137,0.00001645551,0.0003034033,0.00005047783,0.00001241374,0.00008757343,0.00002602108,0.9908931,0.00154376,0.001287407,0.0001174145,0.005630404],"study_design_scores_gemma":[0.000008140903,0.0001013563,0.0001376572,0.000008396609,0.000009289954,0.00002508027,0.00005185242,0.9976515,0.0004879956,0.001005361,0.0005066846,0.000006546274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08325152,0.000344707,0.9100994,0.0002861092,0.000037625,0.00018393,0.0001130858,0.0002125945,0.005471021],"genre_scores_gemma":[0.8828305,0.0003053563,0.1124736,0.00004637797,0.00001734002,0.0002455318,0.0001287096,0.00003558042,0.003917032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004951779,"threshold_uncertainty_score":0.009845912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189117993689833,"score_gpt":0.2513526245308504,"score_spread":0.2294614445939521,"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."}}