{"id":"W4407028782","doi":"10.1016/j.jnca.2025.104131","title":"A holistic survey of UAV-assisted wireless communications in the transition from 5G to 6G: State-of-the-art intertwined innovations, challenges, and opportunities","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Wireless; Transition (genetics); Telecommunications; State (computer science)","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":[0.0003718567,0.00007614315,0.0001778253,0.0001190814,0.00007382761,0.00002342595,0.0002966591,0.00003316633,7.394841e-7],"category_scores_gemma":[0.000004174918,0.00005895194,0.00002464652,0.0005201196,0.00006634718,0.00006147283,0.00004119162,0.0001345339,1.264099e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001775309,"about_ca_system_score_gemma":0.00003291235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003536158,"about_ca_topic_score_gemma":0.0003209609,"domain_scores_codex":[0.9991819,0.0001048176,0.0004970122,0.00006873603,0.00007879959,0.0000687869],"domain_scores_gemma":[0.9989714,0.0003181424,0.0001410007,0.0003236797,0.0002225142,0.00002325576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005726722,0.0004130466,0.002059626,0.0001887348,0.0002658745,4.789902e-7,0.006048374,0.09408181,0.0002759987,0.04703018,0.006853689,0.8427249],"study_design_scores_gemma":[0.0006262493,0.0000623312,0.7190177,0.0004275833,0.00009470172,0.00001123961,0.0004203698,0.2572855,0.00002757666,0.007044057,0.01482037,0.0001622519],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08783017,0.003447386,0.9045446,0.003258761,0.00006866602,0.0004715064,0.00005377395,0.00001362125,0.0003115067],"genre_scores_gemma":[0.9885568,0.003913682,0.007198074,0.0001741318,0.00003384305,0.00006756646,0.00004224006,0.000006783843,0.000006860298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9007266,"threshold_uncertainty_score":0.240399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06421037673043445,"score_gpt":0.2675352189510265,"score_spread":0.2033248422205921,"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."}}