{"id":"W2934866582","doi":"10.1109/access.2019.2907970","title":"Synchronization Procedure in 5G NR Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Synchronization (alternating current); Computer science; Frequency offset; Offset (computer science); Physical layer; Time synchronization; Data synchronization; Range (aeronautics); Frequency domain; Synchronization networks; Real-time computing; Electronic engineering; Telecommunications; Orthogonal frequency-division multiplexing; Wireless; Computer network; Wireless sensor network; Channel (broadcasting); Engineering","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":[0.001312522,0.0003721611,0.0004074197,0.0004473084,0.000836331,0.001014352,0.0006607153,0.0007593905,0.00531557],"category_scores_gemma":[0.002279015,0.0001992602,0.0002369832,0.0003856619,0.0007245485,0.00134507,0.001354309,0.0009629921,0.002300241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005030665,"about_ca_system_score_gemma":0.0009488391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057363,"about_ca_topic_score_gemma":0.0008647075,"domain_scores_codex":[0.9986597,0.0003585466,0.0001138078,0.0002814476,0.0004794192,0.0001070141],"domain_scores_gemma":[0.9993364,0.0001697174,0.00009847328,0.0001885441,0.0001798872,0.00002686801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006847638,0.00009884641,0.002211235,0.0006566333,0.00008811038,0.001516601,0.001749078,0.04594304,0.1769613,0.4250773,0.01481073,0.3302025],"study_design_scores_gemma":[0.0002541762,0.001000146,0.003729327,0.0005114627,0.0001328001,0.00318818,0.0008177373,0.3922259,0.2038223,0.112847,0.2812243,0.0002467546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01539445,0.0008628731,0.9611855,0.0004802087,0.0004351802,0.0002292909,0.0001330568,0.001026695,0.02025275],"genre_scores_gemma":[0.6468276,0.001468382,0.3272531,0.0006960224,0.0005053588,0.0003941066,0.0004662357,0.0003139842,0.02207515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00531557,"threshold_uncertainty_score":0.01778233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216147861588687,"score_gpt":0.2712158482827379,"score_spread":0.259054369666851,"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."}}