{"id":"W4312561370","doi":"10.1007/978-981-19-4775-9_137","title":"Research on UAV Communication Based on Artificial Intelligence","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Reinforcement learning; Engineering; Systems engineering","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003804255,0.0003288767,0.0002824941,0.001081805,0.0001223126,0.00005075194,0.0004246587,0.0003935802,0.0004265347],"category_scores_gemma":[0.0001653356,0.0003709214,0.00008374364,0.0006758734,0.00002815039,0.00003518768,0.00004516502,0.002894528,0.00006483059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008840142,"about_ca_system_score_gemma":0.0000416058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001063651,"about_ca_topic_score_gemma":0.00001407483,"domain_scores_codex":[0.9982888,0.00003283124,0.0003844844,0.0003654842,0.0005168044,0.0004116238],"domain_scores_gemma":[0.9978817,0.001273046,0.00003526891,0.0006815316,0.00005798363,0.0000705474],"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":[0.00001582151,0.00002424968,2.66032e-7,0.00002359912,0.000009065019,0.000003875102,0.00002298488,0.854462,0.00006975044,0.09881566,0.00003702743,0.0465157],"study_design_scores_gemma":[0.00004394239,0.000133741,0.000004389155,0.0001020981,0.000007694382,0.000001252756,5.520784e-7,0.9734511,0.001161796,0.009973667,0.01478411,0.0003356207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005593968,0.001098044,0.9116451,0.0004283665,0.0002053149,0.0008017625,0.00002093891,0.0006010828,0.08514342],"genre_scores_gemma":[0.9887759,0.0007221204,0.008677103,0.0001535449,0.0002844419,0.0003501199,0.0003205664,0.0003117913,0.0004044105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9887199,"threshold_uncertainty_score":0.9998743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284634806973438,"score_gpt":0.279090388729581,"score_spread":0.2462440406598466,"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."}}