{"id":"W2940272532","doi":"10.1109/jiot.2019.2911434","title":"Ultra-Reliable Energy-Efficient Cooperative Scheme in Asynchronous NOMA With Correlated Sources","year":2019,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Asynchronous communication; Noma; Overhead (engineering); Transmission (telecommunications); Single antenna interference cancellation; Network packet; Computer network; Reliability (semiconductor); Decoding methods; Spectral efficiency; Power control; Block (permutation group theory); Channel (broadcasting); Telecommunications link; Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001456433,0.0001768755,0.0002834317,0.000241444,0.00002756598,0.00004595208,0.0005800318,0.0001151718,0.00008745911],"category_scores_gemma":[0.00002694448,0.0001466396,0.0000447866,0.0002399691,0.00009641865,0.0002724896,0.00003828841,0.0007141762,0.00002542233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184866,"about_ca_system_score_gemma":0.00002951829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005633286,"about_ca_topic_score_gemma":0.000009544973,"domain_scores_codex":[0.9990109,0.0000218264,0.000405279,0.0001288397,0.0001933732,0.0002397704],"domain_scores_gemma":[0.9992993,0.00006682642,0.0001851093,0.0002809334,0.0001247899,0.00004298274],"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":[0.00005811348,0.00006809305,0.003144188,0.00002502175,0.00008848923,0.0000149428,0.001758061,0.9568513,0.03541944,0.0008571708,0.0002394981,0.001475694],"study_design_scores_gemma":[0.0009222764,0.0002485095,0.0001822138,0.000658938,0.000005938921,0.0001800114,0.0008565827,0.5340533,0.4618911,0.0001237857,0.0006199077,0.0002574502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969046,0.000794085,0.0995798,0.000032862,0.0003132864,0.0000785587,9.447596e-7,0.0001794983,0.002116311],"genre_scores_gemma":[0.9945503,0.000176302,0.00490063,0.00002939172,0.00001129603,0.000006226419,0.000001425297,0.00003456733,0.0002899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4264717,"threshold_uncertainty_score":0.5979791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005015274011780234,"score_gpt":0.1952095737772979,"score_spread":0.1901942997655176,"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."}}