{"id":"W4224239365","doi":"10.1007/s10479-022-04673-9","title":"A flexible robust model for blood supply chain network design problem","year":2022,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Supply chain; Robustness (evolution); Supply chain network; Facility location problem; Network planning and design; Computer science; Robust optimization; Blood supply; Coronavirus disease 2019 (COVID-19); Risk analysis (engineering); Operations research; Supply chain risk management; Supply chain management; Operations management; Service management; Mathematical optimization; Business; Engineering; Computer network; Medicine","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":[0.002182744,0.001171003,0.00193493,0.0007495093,0.0005708954,0.002100239,0.002213901,0.003374901,0.005463701],"category_scores_gemma":[0.005836698,0.001075299,0.001189892,0.00099029,0.001210808,0.001843926,0.00170751,0.002157589,0.000481031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733281,"about_ca_system_score_gemma":0.001928883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227171,"about_ca_topic_score_gemma":0.007077176,"domain_scores_codex":[0.9989024,0.0004412305,0.0000350289,0.0002926823,0.000175034,0.0001536341],"domain_scores_gemma":[0.9979382,0.001316538,0.0002713562,0.0001128268,0.0002417654,0.0001192549],"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":[0.0000157032,0.000008463408,0.00005959333,0.00001826603,0.000007699365,0.00002512784,0.000008979383,0.9931376,0.0001301247,0.004519952,0.0002555877,0.001812874],"study_design_scores_gemma":[0.000006686107,0.000009348847,0.00002313893,0.000002826115,0.000003421223,0.00000418159,0.00000254926,0.997337,0.00002648306,0.002448883,0.0001326551,0.000002705879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01997379,0.0003305361,0.9725015,0.0007318802,0.00005673556,0.00008639284,0.0003317592,0.0001799419,0.005807431],"genre_scores_gemma":[0.8861724,0.0005378683,0.0993365,0.0002224697,0.00009194131,0.0003291471,0.0005263951,0.0001098339,0.01267349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227171,"threshold_uncertainty_score":0.02440053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3244326607639991,"score_gpt":0.398151544860401,"score_spread":0.07371888409640187,"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."}}