{"id":"W2964141424","doi":"10.1109/glocom.2016.7841486","title":"3D Stochastic Geometry Model for Large-Scale Molecular Communication Systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Molecular communication; Stochastic geometry; Transmitter; SIGNAL (programming language); Poisson point process; Scale (ratio); Computer science; Poisson distribution; Stochastic process; Communications system; Diffusion; Point process; Statistical physics; Reliability (semiconductor); Biological system; Process (computing); Algorithm; Physics; Mathematics; Telecommunications; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137547,0.0001117342,0.0001327894,0.0000781179,0.00006654942,0.000025637,0.00033965,0.00009502277,0.00002178098],"category_scores_gemma":[0.00002095876,0.00008743819,0.00005979733,0.0001168843,0.00001468734,0.00007256774,0.00006654218,0.0000677345,0.00004813977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004776722,"about_ca_system_score_gemma":0.000009210443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002016838,"about_ca_topic_score_gemma":0.000009535332,"domain_scores_codex":[0.9993376,0.00003073186,0.0002052987,0.0001078148,0.00009877602,0.0002198194],"domain_scores_gemma":[0.9988472,0.00009418104,0.00002756227,0.0008994691,0.00006409193,0.00006745017],"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":[0.000008850815,0.00003680054,0.000007505883,0.00003829147,0.00005434512,2.076183e-7,0.00009970197,0.9393954,0.01123166,0.04249157,0.003948959,0.002686751],"study_design_scores_gemma":[0.0004581359,0.000007279481,0.000006011482,0.00004856533,0.00001318781,0.00000154746,0.00001929052,0.9959487,0.0003184892,0.0002688947,0.002765935,0.0001440004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002599386,0.002045285,0.991965,0.0001545294,0.0000743343,0.0003419598,0.0000194086,0.0003087116,0.002491367],"genre_scores_gemma":[0.9753603,0.0001323235,0.02318307,0.00007307815,0.00001308373,0.0001696699,0.000035407,0.00004193107,0.0009911228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9727609,"threshold_uncertainty_score":0.3565626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192925730343768,"score_gpt":0.2239276864323489,"score_spread":0.2119984291289112,"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."}}