{"id":"W4386215019","doi":"10.1109/piers59004.2023.10221490","title":"Path Planning for Cellular-connected UAV Using Parabolic Equation-based Radio Wave Propagation Models","year":2023,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Motion planning; Computer science; Flexibility (engineering); Base station; Path loss; Path (computing); Radio propagation; Wireless; Radio propagation model; Real-time computing; Simulation; Telecommunications; Computer network; Artificial intelligence; 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":[0.0002962951,0.0006265297,0.0004997732,0.000323405,0.0002946833,0.0005488262,0.0005948917,0.0008180747,0.001237828],"category_scores_gemma":[0.001024954,0.0004297864,0.0004269948,0.0002965265,0.0005493726,0.0004619305,0.0006709587,0.0006688496,0.0001529568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006830739,"about_ca_system_score_gemma":0.0008484829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556015,"about_ca_topic_score_gemma":0.009952121,"domain_scores_codex":[0.9999094,0.00002573328,0.000003832693,0.00002232227,0.00001954756,0.00001915153],"domain_scores_gemma":[0.9996017,0.0002374453,0.00005559652,0.00001242033,0.00006533371,0.00002750118],"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":[0.000008319598,0.000005117776,0.0002397827,0.000006631406,0.000004052855,0.00002359479,0.00001132844,0.9965547,0.0002924872,0.001013504,0.000114773,0.00172573],"study_design_scores_gemma":[0.000001461745,0.000003174237,0.00002099577,7.71893e-7,8.693671e-7,0.000001891332,0.000002465593,0.9996007,0.00003515889,0.0002911119,0.00004062373,7.480759e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06728943,0.0002847761,0.9261621,0.0003374257,0.00004307102,0.00005234222,0.0001004636,0.0001970966,0.005533393],"genre_scores_gemma":[0.9375002,0.0002187775,0.05743634,0.0001050114,0.00001517208,0.0001123563,0.0001334781,0.00004706284,0.004431557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01556015,"threshold_uncertainty_score":0.03093916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06991561549147109,"score_gpt":0.2460803291123591,"score_spread":0.176164713620888,"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."}}