{"id":"W2061071867","doi":"10.1145/2811587.2811617","title":"Two-way Communications in Cognitive Personal Area Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Probabilistic logic; Computer network; Synchronization (alternating current); Cognition; Bridging (networking); Overhead (engineering); Personal mobility; Distributed computing; Telecommunications; Artificial intelligence; Psychology","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":[0.001150269,0.0006011391,0.0004548389,0.0005726154,0.0006279366,0.001236861,0.0009600395,0.0009469886,0.0008850064],"category_scores_gemma":[0.003044465,0.000341429,0.0004558342,0.0008427246,0.001342554,0.001341415,0.001176239,0.0008043511,0.0002434127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364058,"about_ca_system_score_gemma":0.00079423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215993,"about_ca_topic_score_gemma":0.001230753,"domain_scores_codex":[0.9991991,0.0002381523,0.00002522997,0.0000880301,0.0002861376,0.0001633725],"domain_scores_gemma":[0.9983857,0.00111939,0.0001358795,0.0001630018,0.000143755,0.0000522852],"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":[0.0001474424,0.00008188816,0.0008729498,0.0001600255,0.00005496348,0.0002786322,0.000181642,0.5365218,0.01287125,0.3957169,0.001256999,0.05185553],"study_design_scores_gemma":[0.00001762413,0.00006555309,0.0002054095,0.00001166592,0.00001863858,0.0001720553,0.00001836056,0.933542,0.001599238,0.06251805,0.00180463,0.00002669551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04427797,0.001095587,0.9489501,0.0002200944,0.00008089482,0.00003828646,0.00002775373,0.0001896242,0.005119772],"genre_scores_gemma":[0.9282421,0.0009843461,0.06808378,0.0001226926,0.00008807959,0.0000973435,0.00002258551,0.00002418962,0.002334979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001236861,"threshold_uncertainty_score":0.00608325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701586085654667,"score_gpt":0.3008540444208435,"score_spread":0.2306954358553768,"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."}}