{"id":"W3003692247","doi":"10.29007/br13","title":"Average SER Analysis for Layered Division Multiplexing System with Index Modulation","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Modulation (music); Transmission (telecommunications); Codebook; Reliability (semiconductor); Transmission system; Electronic engineering; Bit error rate; Algorithm; Decoding methods; Channel (broadcasting); Telecommunications; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837246,0.001137647,0.0009806841,0.0008897675,0.0005508673,0.001252191,0.0007890313,0.0008211539,0.002128475],"category_scores_gemma":[0.005824064,0.0004214662,0.0007912895,0.0007662902,0.0008263218,0.001382308,0.0007336917,0.0008991346,0.000443143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470088,"about_ca_system_score_gemma":0.0009708534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003614795,"about_ca_topic_score_gemma":0.001782065,"domain_scores_codex":[0.9985948,0.0004628494,0.00005914063,0.0001384863,0.0005246742,0.000220102],"domain_scores_gemma":[0.9955372,0.0027213,0.0004942939,0.0002968459,0.0008628358,0.0000876553],"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":[0.0001506494,0.00003078029,0.001779798,0.0001642387,0.0000954869,0.0003154515,0.0001435305,0.9382507,0.009203384,0.03599359,0.0007495307,0.01312288],"study_design_scores_gemma":[0.000002284065,0.00002890617,0.0001857465,0.000007104275,0.00001362225,0.00007470768,0.00001002593,0.9969156,0.0008717877,0.001724706,0.0001568872,0.000008553681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07563602,0.002586263,0.9128512,0.0002639599,0.00008585155,0.00004743045,0.0001326659,0.0003984216,0.00799819],"genre_scores_gemma":[0.972973,0.001470703,0.02344841,0.00007838677,0.00007101782,0.00004472882,0.00008708897,0.00005385487,0.001772737],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003614795,"threshold_uncertainty_score":0.01066631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673086548651529,"score_gpt":0.248672171832158,"score_spread":0.2319413063456428,"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."}}