{"id":"W4387363467","doi":"10.36227/techrxiv.24233122.v1","title":"Reliability in Post-Disaster Networks: A Novel Interference-Mitigation Strategy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Stochastic geometry; Computer science; Reliability (semiconductor); Rayleigh fading; Telecommunications link; Base station; Interference (communication); Metric (unit); Resilience (materials science); Computer network; Fading; Engineering; Statistics; Mathematics; Channel (broadcasting); Physics","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":[0.0007482536,0.0007762641,0.0004488189,0.0004211925,0.0003209108,0.0004800038,0.00102587,0.0005415935,0.0006624388],"category_scores_gemma":[0.001650941,0.0001708306,0.0004482498,0.0002488251,0.0006790141,0.0006248701,0.001111473,0.0004728612,0.0002125158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382128,"about_ca_system_score_gemma":0.0004664848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006726518,"about_ca_topic_score_gemma":0.0006958373,"domain_scores_codex":[0.9995801,0.0001621269,0.00001405203,0.00005612078,0.000104777,0.00008281736],"domain_scores_gemma":[0.9992419,0.0002990865,0.0001616898,0.0001193241,0.0001230882,0.00005494653],"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":[0.0001479195,0.00006835501,0.001613221,0.0001471769,0.00006301148,0.0004743763,0.0002335271,0.8586292,0.0519354,0.03789751,0.001017328,0.04777305],"study_design_scores_gemma":[0.0000113932,0.000275247,0.0005924455,0.00001040397,0.00002875797,0.0002328349,0.00006786196,0.9838254,0.007744405,0.006223897,0.0009743155,0.00001309721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07785323,0.0004775333,0.9176514,0.0002311829,0.00004298792,0.00004291013,0.00002798892,0.0001771542,0.003495658],"genre_scores_gemma":[0.9663832,0.0003118264,0.03218088,0.00006041896,0.00004357528,0.00003560668,0.00002081774,0.00001891441,0.0009447339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00102587,"threshold_uncertainty_score":0.003957152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06352573799840046,"score_gpt":0.2822388621357649,"score_spread":0.2187131241373644,"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."}}