{"id":"W2829518803","doi":"10.1109/iccw.2018.8403521","title":"Device Grouping for Fast and Efficient Channel Access in IEEE 802.11ah Based IoT Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Computer network; Channel (broadcasting)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002423948,0.0001431989,0.0001573413,0.00007176432,0.00007269219,0.00009288023,0.0001422138,0.0001011734,0.00003340261],"category_scores_gemma":[0.000005458548,0.0001315931,0.0000290283,0.0002151854,0.00002601873,0.00003887333,0.00002717304,0.0001034981,0.00000496285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003071672,"about_ca_system_score_gemma":0.000007559377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002863107,"about_ca_topic_score_gemma":0.000210762,"domain_scores_codex":[0.9991966,0.00001328773,0.0001826158,0.0001783726,0.00006384431,0.0003652556],"domain_scores_gemma":[0.9996497,0.0001000133,0.00001974702,0.0001302132,0.00003458124,0.00006576474],"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":[0.00003172053,0.00001431827,0.0002427116,0.0001139164,0.000007695116,0.00000103127,0.00007403248,0.9908675,0.00005838961,0.00007109859,0.001630153,0.006887411],"study_design_scores_gemma":[0.0006766565,0.00004922419,0.0009913218,0.0001344407,0.00000425505,8.285338e-7,0.00001210207,0.9952605,0.0009276549,0.00003134909,0.001729248,0.000182464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07556245,0.0001305665,0.9148315,0.00007627771,0.000580964,0.005921562,0.000002617448,0.0002120841,0.00268201],"genre_scores_gemma":[0.9958712,0.000002738214,0.001116196,0.000404772,0.0007053692,0.001819066,0.000003178596,0.00003493748,0.00004258175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9203087,"threshold_uncertainty_score":0.5366211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785642748398065,"score_gpt":0.2839828069273674,"score_spread":0.2561263794433868,"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."}}