{"id":"W4379521662","doi":"10.36227/techrxiv.23269337","title":"Empowering Non-Terrestrial Networks with Artificial Intelligence: A Survey","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Universiti Tunku Abdul Rahman","keywords":"Artificial intelligence; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009305541,0.0006165055,0.0006219818,0.00144453,0.0003168444,0.002065581,0.001016472,0.001028057,0.003152459],"category_scores_gemma":[0.002028761,0.0003470385,0.000403652,0.002886174,0.000570534,0.004680276,0.001282458,0.001063901,0.001147521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004772095,"about_ca_system_score_gemma":0.0007647794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006702093,"about_ca_topic_score_gemma":0.0009354905,"domain_scores_codex":[0.9994542,0.0001309325,0.00003214365,0.00009185388,0.0002224787,0.00006837552],"domain_scores_gemma":[0.9983492,0.001213543,0.00009480272,0.0001191098,0.0001526735,0.00007067428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000329144,0.0001978008,0.001615125,0.004776724,0.00005528967,0.0001100861,0.0001984784,0.005377014,0.00168649,0.06052542,0.01452123,0.9109035],"study_design_scores_gemma":[0.00001965484,0.000269597,0.003669029,0.003303742,0.00009506549,0.0008523839,0.0007116394,0.02463589,0.003494125,0.08799873,0.8748997,0.0000505417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01278589,0.8233522,0.07031216,0.004123879,0.0004813439,0.0001200507,0.0001700003,0.0003248232,0.08832975],"genre_scores_gemma":[0.09803516,0.8594023,0.0310571,0.00140166,0.0007530816,0.000103289,0.0003140868,0.00005464397,0.008878625],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003152459,"threshold_uncertainty_score":0.01054603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07967600940098893,"score_gpt":0.3231816533724482,"score_spread":0.2435056439714593,"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."}}