{"id":"W3141340642","doi":"10.34117/bjdv7n3-452","title":"EFEITO DA INTERFERÊNCIA EPIDÊMICA NA PROBABILIDADE DE ERRO DE UM SISTEMA CELULAR / EFFECT OF EPIDEMIC INTERFERENCE ON THE PROBABILITY OF ERROR IN A CELLULAR SYSTEM","year":2021,"lang":"pt","type":"article","venue":"Brazilian Journal of Development","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interference (communication); Probability of error; Physics; Statistics; Mathematics; Computer science; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002570512,0.0005805425,0.0005849696,0.001044704,0.000474419,0.001218674,0.0007149006,0.001108359,0.001455858],"category_scores_gemma":[0.01867874,0.0003246462,0.0006538514,0.0007678062,0.001030093,0.001102313,0.0009110477,0.0009935512,0.0001652325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007868779,"about_ca_system_score_gemma":0.0006455625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003822849,"about_ca_topic_score_gemma":0.002960268,"domain_scores_codex":[0.998711,0.0004304479,0.00006187632,0.000205734,0.0003546834,0.0002362669],"domain_scores_gemma":[0.9756977,0.02032753,0.001404414,0.0007229471,0.0016178,0.00022954],"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":[0.0005493165,0.0001761601,0.03826394,0.0003170048,0.0002139889,0.0007834437,0.0005454645,0.8920521,0.02029197,0.01841086,0.0008530462,0.0275427],"study_design_scores_gemma":[0.00002625703,0.0003050528,0.01445942,0.00005206151,0.0001393403,0.0006384194,0.0002521744,0.969829,0.007672988,0.005978904,0.0005846713,0.00006164242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.806155,0.001949533,0.1816525,0.0008975919,0.000115789,0.00006083992,0.000247599,0.0003944922,0.008526715],"genre_scores_gemma":[0.9959676,0.0002794611,0.003012658,0.00003972065,0.00002111583,0.00001333829,0.0000282215,0.00001634109,0.0006215806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003822849,"threshold_uncertainty_score":0.01359433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076249981995696,"score_gpt":0.2679520854294417,"score_spread":0.2371895856094847,"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."}}