{"id":"W7000972037","doi":"","title":"Implementation of New Multiple Access Technique Encoder for 5G Wireless Telecommunication Networks","year":2017,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Polytechnique Montréal","keywords":"Wi-Fi; Resilience (materials science); Virtualization; Wireless lan","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002978783,0.0005023326,0.0003071762,0.0004384751,0.0004349316,0.0005596032,0.0005588554,0.000482301,0.006692464],"category_scores_gemma":[0.0005595768,0.0001413089,0.0002476415,0.0002231432,0.000159874,0.0004610564,0.000477689,0.000511369,0.001668092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004728549,"about_ca_system_score_gemma":0.0008146127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158056,"about_ca_topic_score_gemma":0.004707943,"domain_scores_codex":[0.999599,0.00007155183,0.00002061239,0.0000583802,0.0001688179,0.00008162301],"domain_scores_gemma":[0.9996922,0.00005460012,0.00001975129,0.00005269645,0.0001607659,0.00002001731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008242019,0.000366659,0.002150964,0.0003001576,0.0001402558,0.0008745331,0.0002130265,0.01873664,0.3576588,0.03909389,0.01652021,0.5631206],"study_design_scores_gemma":[0.000147906,0.0007945924,0.002290506,0.00008015262,0.0001103632,0.001196872,0.00006186488,0.5063545,0.4178405,0.005309132,0.06574084,0.00007281801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09374642,0.001178437,0.8762361,0.0005257331,0.0007092948,0.0002800438,0.0005844925,0.006138186,0.02060123],"genre_scores_gemma":[0.5729574,0.0005170875,0.3869282,0.0003928034,0.0002397418,0.0001806183,0.001366373,0.0001577749,0.03725999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006692464,"threshold_uncertainty_score":0.02238852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502795799137876,"score_gpt":0.3136633214683421,"score_spread":0.2886353634769633,"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."}}