{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009345062,0.001224201,0.001284656,0.001096652,0.0006949066,0.00179024,0.002378936,0.002554494,0.003287405],"category_scores_gemma":[0.002706063,0.0006358272,0.001155835,0.001051499,0.001994891,0.001780542,0.001509647,0.001280451,0.0009509429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408447,"about_ca_system_score_gemma":0.0009991323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008342202,"about_ca_topic_score_gemma":0.003185467,"domain_scores_codex":[0.9991892,0.0002357128,0.00002915903,0.0001643815,0.0002677362,0.0001137364],"domain_scores_gemma":[0.9981578,0.0008233375,0.0004844973,0.0001045446,0.0002598535,0.0001698691],"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":[0.00002055006,0.00001427486,0.0003861169,0.000025713,0.00001426703,0.0001763515,0.00003957028,0.8990439,0.00135473,0.09705333,0.0005901546,0.001281083],"study_design_scores_gemma":[0.000005445841,0.000007343439,0.00008386892,0.000001683092,0.000003013922,0.00002847361,0.000006180358,0.9893689,0.00007867409,0.01004257,0.0003671871,0.000006708472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04109225,0.0008379149,0.9422941,0.001453714,0.000143306,0.000105677,0.0006831076,0.0003664516,0.01302359],"genre_scores_gemma":[0.9171627,0.001806181,0.05829818,0.0005072272,0.0002331649,0.0005347385,0.000739974,0.0001893424,0.02052841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008342202,"threshold_uncertainty_score":0.01747459,"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."}}