{"id":"W4413786636","doi":"10.1016/j.cor.2025.107253","title":"Drone-aided mobile blood collection problem: A rolling-horizon-based matheuristic","year":2025,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Polytechnique Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Drone; Computer science; Horizon; Mathematical optimization; Operations research; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000368698,0.0001287531,0.0001400708,0.0005689709,0.0006298719,0.0002978728,0.000245369,0.00009190955,0.0000646443],"category_scores_gemma":[0.00002855938,0.0001386235,0.00004341479,0.001824292,0.00006474297,0.0001131836,0.00004838654,0.0002883515,0.00006216161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762943,"about_ca_system_score_gemma":0.0001990802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009544682,"about_ca_topic_score_gemma":0.0001160576,"domain_scores_codex":[0.9988149,0.00009081213,0.0002777956,0.0002740438,0.0002385649,0.0003038637],"domain_scores_gemma":[0.9989971,0.0001578312,0.00000808006,0.0003777083,0.0003903213,0.00006897275],"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":[0.000004727602,0.0001328111,0.00004498243,0.0000584747,0.00003689904,0.000001225011,0.0001101715,0.985213,0.002058888,0.002888318,0.00620298,0.003247544],"study_design_scores_gemma":[0.0004970821,0.0001098131,0.00008534426,0.00005275235,0.00001730065,0.000001356313,0.00003438178,0.9911753,0.003123143,0.0002261279,0.004565527,0.0001118843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05018708,0.000307263,0.9433314,0.0002913282,0.0001960263,0.001415936,0.00001012099,0.0004047868,0.003856071],"genre_scores_gemma":[0.92618,0.0001249279,0.07008718,0.00003063016,0.00008078261,0.001785204,0.0001224266,0.00003604698,0.001552769],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.875993,"threshold_uncertainty_score":0.56529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589191721062148,"score_gpt":0.3029548178380992,"score_spread":0.2870629006274777,"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."}}