{"id":"W3206457735","doi":"10.3390/bdcc5040056","title":"6G Cognitive Information Theory: A Mailbox Perspective","year":2021,"lang":"en","type":"article","venue":"Big Data and Cognitive Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Distributed computing; Transmission (telecommunications); Artificial intelligence; Telecommunications","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":[0.001304127,0.0005938239,0.0005477113,0.00166669,0.0010737,0.003128821,0.001220479,0.002401985,0.004212814],"category_scores_gemma":[0.00290074,0.0002916797,0.0006488449,0.0009763542,0.003579595,0.006505203,0.001358956,0.002154218,0.0008352785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916907,"about_ca_system_score_gemma":0.000781836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553694,"about_ca_topic_score_gemma":0.0004947952,"domain_scores_codex":[0.9990528,0.0003142116,0.00004508798,0.0001678918,0.0003048506,0.0001150195],"domain_scores_gemma":[0.9982575,0.0008846195,0.0001629182,0.000276845,0.0003172981,0.0001008933],"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":[0.000008038239,0.000007809167,0.00007885649,0.00002608924,0.000004413826,0.00003734324,0.00005825641,0.002940989,0.0003146142,0.9920626,0.0004722013,0.003988738],"study_design_scores_gemma":[0.00001069203,0.00004598701,0.0001357097,0.00004057341,0.00001162675,0.00009927625,0.00005802302,0.05388773,0.0006149638,0.9356065,0.009469646,0.00001933616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03357366,0.004080156,0.8351795,0.005426281,0.0006895534,0.00009999039,0.0001886854,0.0002473778,0.1205149],"genre_scores_gemma":[0.8846583,0.004998753,0.08784992,0.00143834,0.001359783,0.0002483275,0.000145288,0.0000774671,0.01922374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004212814,"threshold_uncertainty_score":0.01409328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05865866255885519,"score_gpt":0.291988622259503,"score_spread":0.2333299597006478,"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."}}