{"id":"W3111562561","doi":"10.48550/arxiv.2012.05093","title":"Robotic Communications for 5G and Beyond: Challenges and Research Opportunities","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Robotics; Robot; Computer science; Context (archaeology); Artificial intelligence; Communications system; Mobile robot; Trajectory; Distributed computing; Human–computer interaction; Telecommunications; Geography","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":[0.000623322,0.0004683964,0.0003857233,0.0003334393,0.0004045507,0.001229399,0.0004582699,0.00102369,0.001704579],"category_scores_gemma":[0.0007869168,0.0001597103,0.0002426938,0.0006508578,0.0008447253,0.001737769,0.0006663917,0.001155789,0.0003612057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000596295,"about_ca_system_score_gemma":0.000738784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317562,"about_ca_topic_score_gemma":0.00141629,"domain_scores_codex":[0.9997009,0.0001196563,0.000008769325,0.00004339577,0.00009154664,0.00003578777],"domain_scores_gemma":[0.9996456,0.0002028407,0.00003583972,0.00003264962,0.00005676638,0.00002630611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006216417,0.00005416753,0.001828976,0.0005471018,0.00004850829,0.0003081022,0.000184888,0.1264884,0.004932661,0.5260934,0.0167172,0.3227344],"study_design_scores_gemma":[0.00001178178,0.0002066415,0.001734102,0.0002813116,0.00002647129,0.0005916928,0.000600947,0.3731766,0.002084807,0.4747542,0.1464838,0.00004762624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06563205,0.1675057,0.6380918,0.03968079,0.002025333,0.0000747834,0.0002425396,0.0003624359,0.08638452],"genre_scores_gemma":[0.7460561,0.1563793,0.08083342,0.001973516,0.002376617,0.00008336678,0.0002324293,0.00006777181,0.01199737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001704579,"threshold_uncertainty_score":0.005702376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4485582369923732,"score_gpt":0.2618374008017719,"score_spread":0.1867208361906014,"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."}}