{"id":"W2172192196","doi":"10.1145/2619955.2619970","title":"Stationary Distribution of Molecules in NanoCommunication via Microtubules","year":2014,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Molecular communication; Markov chain; Stationary distribution; Markov process; Channel (broadcasting); Computer science; Brownian motion; Statistical physics; Probability distribution; Position (finance); Jump diffusion; Topology (electrical circuits); Jump; Physics; Mathematics; Telecommunications; Transmitter; Quantum mechanics; Machine learning","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":[0.0002957975,0.0003668229,0.0004560383,0.0009623927,0.0008588957,0.001068128,0.0008290202,0.0007725964,0.002298879],"category_scores_gemma":[0.001441377,0.0003148462,0.000383474,0.0005166905,0.001019554,0.001523967,0.0006099395,0.0006395497,0.0003944745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721796,"about_ca_system_score_gemma":0.0006658584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553585,"about_ca_topic_score_gemma":0.002830156,"domain_scores_codex":[0.9998167,0.00002945059,0.000005428942,0.00004421242,0.00004608396,0.00005798492],"domain_scores_gemma":[0.9990258,0.0004095335,0.0001972011,0.00003937296,0.0002177942,0.0001102677],"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":[0.0003251841,0.000136823,0.007337305,0.0001512387,0.00006091538,0.001054398,0.0005097294,0.6021225,0.04713854,0.3287622,0.002849905,0.009551209],"study_design_scores_gemma":[0.00001704943,0.00003910376,0.001387141,0.00001054562,0.00001056037,0.00006304299,0.0001205248,0.9770198,0.00406813,0.01663955,0.0005877055,0.00003685664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803394,0.0008845865,0.2013461,0.001215736,0.00006424658,0.00007629573,0.0003443335,0.0003597741,0.01536948],"genre_scores_gemma":[0.9880193,0.0003545826,0.005676301,0.00006433554,0.00002785433,0.00004447786,0.0001328916,0.00004225606,0.005638012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00553585,"threshold_uncertainty_score":0.0124926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004472629217541822,"score_gpt":0.1932270287115758,"score_spread":0.188754399494034,"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."}}