{"id":"W4412628055","doi":"10.1016/j.cor.2025.107206","title":"Optimization of drone base station locations and mobile charging drone routing for post-disaster communication","year":2025,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Drone; Base station; Computer science; Routing (electronic design automation); Base (topology); Computer network; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006155531,0.001206204,0.0009372146,0.0009125863,0.0006442757,0.001109617,0.001136537,0.001172763,0.002880107],"category_scores_gemma":[0.002136901,0.0006169045,0.0006240506,0.000989411,0.0006135803,0.001092364,0.0007285418,0.0007468634,0.0003044658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352248,"about_ca_system_score_gemma":0.001335833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232429,"about_ca_topic_score_gemma":0.01255925,"domain_scores_codex":[0.999619,0.000138002,0.00001220974,0.00007295576,0.00005430419,0.0001034631],"domain_scores_gemma":[0.9993348,0.0003691121,0.00009285996,0.00003438539,0.00009379718,0.00007512166],"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":[0.00002336669,0.00001544333,0.0003484983,0.00001765943,0.000009730556,0.00003804504,0.00001396636,0.994406,0.0004073748,0.0009205551,0.0002797713,0.003519586],"study_design_scores_gemma":[0.000009074514,0.00003406464,0.0002254734,0.000003733846,0.000006709255,0.00001942817,0.00006657358,0.9983516,0.0002417044,0.0007231185,0.000313524,0.000005022762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3292987,0.0009046847,0.6534374,0.0006931174,0.0001513622,0.0003016989,0.0004789779,0.0004372154,0.01429683],"genre_scores_gemma":[0.9501199,0.000216845,0.04668352,0.00004648548,0.00001350671,0.00008562147,0.0002121064,0.0000369295,0.002585064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01232429,"threshold_uncertainty_score":0.02450508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177209486753708,"score_gpt":0.3224385818401905,"score_spread":0.3006664869726534,"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."}}