{"id":"W4396240150","doi":"10.1109/jiot.2024.3394740","title":"Flavors of the Next Generation of Unmanned Aerial Vehicles Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Computer science; Remotely operated underwater vehicle; Computer network; Telecommunications; Artificial intelligence; Mobile robot; Robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001716084,0.00006335634,0.0001059327,0.00006400938,0.00001757499,0.00004536513,0.0001775646,0.00005720884,0.00003624756],"category_scores_gemma":[0.000009820676,0.0000467776,0.00008997737,0.0001306349,0.00003358956,0.000201041,0.00001475428,0.0001683594,0.000001109415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659804,"about_ca_system_score_gemma":0.00001509866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002133365,"about_ca_topic_score_gemma":0.000003900534,"domain_scores_codex":[0.9993913,0.00001699873,0.0003475984,0.00005156834,0.0001221857,0.00007034376],"domain_scores_gemma":[0.9996892,0.00002300319,0.0001025239,0.00009287243,0.0000730434,0.0000193923],"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":[0.00001060958,0.00001419707,0.00006953518,0.00006173525,0.00009055923,5.668491e-7,0.001250424,0.7713154,0.2139237,0.0006768591,0.006247432,0.006338994],"study_design_scores_gemma":[0.00007505191,0.00002139768,0.00006567896,0.0001518998,0.00002410327,0.00001473501,0.00002202406,0.8363659,0.1627175,0.0001587013,0.0003446314,0.00003842582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146256,0.000664356,0.1825561,0.00006900432,0.001709317,0.00006139519,0.000001741909,0.00002296498,0.0002895741],"genre_scores_gemma":[0.9977479,0.0001593997,0.001651958,0.00001151766,0.0003343022,0.000001735061,0.000001536189,0.00001456307,0.00007711037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1831223,"threshold_uncertainty_score":0.1907535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328112828079522,"score_gpt":0.2244816806379966,"score_spread":0.2012005523572014,"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."}}