{"id":"W3216205907","doi":"10.1109/mcom.111.2001118","title":"Robotic Communications for 5G and Beyond: Challenges and Research Opportunities","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robotics; Robot; Context (archaeology); Mobile robot; Communications system; Trajectory; Artificial intelligence; Distributed computing; Telecommunications; Human–computer interaction","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":[0.0007403327,0.0004925054,0.0003881107,0.0003540213,0.0004353358,0.001362799,0.000482504,0.001182911,0.002066273],"category_scores_gemma":[0.0008320331,0.0001823157,0.0002464381,0.0006954233,0.000880691,0.002288914,0.0007157404,0.001177608,0.0004148382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388124,"about_ca_system_score_gemma":0.0007929251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129562,"about_ca_topic_score_gemma":0.001590509,"domain_scores_codex":[0.9997148,0.0001077293,0.000009192424,0.00003739389,0.00009243151,0.00003843855],"domain_scores_gemma":[0.9995854,0.000228649,0.00004233221,0.00003457302,0.00007533531,0.00003368272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006887886,0.00006640637,0.002056112,0.0006446281,0.00004675365,0.0003505297,0.0002110581,0.09266254,0.005841942,0.4553128,0.01962181,0.4231167],"study_design_scores_gemma":[0.00001493237,0.0003847919,0.0020666,0.0004434496,0.00003531889,0.0008003114,0.00095606,0.3570634,0.00275769,0.4210875,0.2143247,0.00006521121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.06359819,0.2726929,0.5071883,0.05896566,0.002578953,0.00008628311,0.0002227878,0.000370039,0.09429684],"genre_scores_gemma":[0.6722274,0.2355924,0.07491577,0.002789163,0.002786325,0.00008215011,0.0001936654,0.0000573516,0.01135575],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002066273,"threshold_uncertainty_score":0.00691241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2340880713712784,"score_gpt":0.3554827697597679,"score_spread":0.1213946983884895,"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."}}