{"id":"W4411228436","doi":"10.1139/dsa-2025-0002","title":"Performance evaluation of path planning algorithms for autonomous UAV deployment using two urban scenarios","year":2025,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Motion planning; Computer science; Path (computing); Algorithm; Artificial intelligence; Computer network; Robot; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000706755,0.0009091833,0.0005039025,0.0007511729,0.0005363814,0.0005124296,0.0006649249,0.0006205459,0.001029704],"category_scores_gemma":[0.002226673,0.0002155429,0.0002950274,0.0007157418,0.0002841433,0.0006291419,0.0004598879,0.0003499398,0.0001694361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008012548,"about_ca_system_score_gemma":0.00102541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028689,"about_ca_topic_score_gemma":0.008775964,"domain_scores_codex":[0.9995498,0.0001341143,0.00002785867,0.00009207878,0.00009988978,0.00009627097],"domain_scores_gemma":[0.99882,0.0006774027,0.0001103231,0.00008475709,0.0002363024,0.00007105763],"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":[0.0002133454,0.00009219438,0.002069302,0.000104741,0.00004599485,0.00005478629,0.00005021622,0.9466323,0.002298182,0.0008355891,0.000509902,0.04709347],"study_design_scores_gemma":[0.00001894867,0.0001203801,0.0006696206,0.000004517095,0.000009664622,0.00002410932,0.00005027958,0.9967015,0.001939022,0.0002223137,0.0002338986,0.000005647984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7034624,0.001018841,0.2850173,0.0002318371,0.00009674387,0.000242687,0.0003754234,0.00266017,0.006894693],"genre_scores_gemma":[0.9093866,0.0002253425,0.08923484,0.00002120986,0.000004768794,0.00009514015,0.0003936539,0.00005809835,0.0005804247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028689,"threshold_uncertainty_score":0.02045405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596558299984809,"score_gpt":0.3349501152493193,"score_spread":0.2789845322494712,"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."}}