{"id":"W4411792997","doi":"10.18280/ts.420305","title":"Reliable Low Power Wide Area Networks-Aided Polar Code","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University","keywords":"Code (set theory); Polar; Polar code; Computer science; Power (physics); Telecommunications; Physics; Programming language; Decoding methods; Astronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006261533,0.0004865032,0.000352729,0.0005591809,0.0004779949,0.0006308288,0.0004994203,0.0005106337,0.001521301],"category_scores_gemma":[0.00297227,0.0001768888,0.000149228,0.0006311845,0.0007083734,0.001012784,0.00111827,0.0008310339,0.000629434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004662612,"about_ca_system_score_gemma":0.0009553454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015751,"about_ca_topic_score_gemma":0.001200222,"domain_scores_codex":[0.9992986,0.0001626703,0.00003145638,0.00008573396,0.0003298765,0.00009166326],"domain_scores_gemma":[0.9976767,0.000706351,0.0002854628,0.0002921509,0.0009832435,0.00005616412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001444881,0.0001284416,0.004271998,0.0005469139,0.00009347158,0.0008241746,0.0008037197,0.2072152,0.2868335,0.1997453,0.007858402,0.2902339],"study_design_scores_gemma":[0.0001019045,0.0005076283,0.0007765713,0.00008613451,0.00004763087,0.0008374874,0.0001437287,0.788747,0.1618831,0.02331694,0.02345305,0.00009876821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1209639,0.001098967,0.8612087,0.0005172793,0.0002783299,0.0001325613,0.0001605759,0.0009100222,0.01472967],"genre_scores_gemma":[0.9004663,0.0006655054,0.09114764,0.0002262181,0.00006653248,0.0001071353,0.0002142838,0.00005102254,0.007055264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001521301,"threshold_uncertainty_score":0.005089223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304952571622304,"score_gpt":0.2191440279771551,"score_spread":0.2060945022609321,"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."}}