{"id":"W160755956","doi":"10.5220/0002757303270332","title":"CHARACTERIZATION OF MOLECULAR COMMUNICATION CHANNEL FOR NANOSCALE NETWORKS","year":2010,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Molecular communication; Channel (broadcasting); Computer science; Transceiver; Dimension (graph theory); Nanoscopic scale; Throughput; Nanotechnology; Electronic engineering; Topology (electrical circuits); Telecommunications; Materials science; Wireless; Engineering; Electrical engineering; Mathematics","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":[0.0004585847,0.0001675755,0.0001911827,0.0006432061,0.0002262479,0.0002404791,0.000261265,0.0003092855,0.001953371],"category_scores_gemma":[0.001403854,0.0000911707,0.0001062546,0.0003348808,0.000372369,0.0006954743,0.0002009998,0.0003149597,0.0002881869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297777,"about_ca_system_score_gemma":0.0002019052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005069922,"about_ca_topic_score_gemma":0.0003669297,"domain_scores_codex":[0.9996823,0.00003900442,0.00001021518,0.00005856317,0.0001620382,0.00004780083],"domain_scores_gemma":[0.9980643,0.001017474,0.0002775858,0.0001764907,0.0003976601,0.00006652409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002028513,0.00007676492,0.0017565,0.0002426852,0.00001041237,0.0001167937,0.0001249803,0.01169398,0.9676698,0.005871436,0.0003623066,0.01187153],"study_design_scores_gemma":[0.00001186115,0.0003865898,0.004980152,0.00001704614,0.0000175405,0.000209373,0.00009586014,0.09976893,0.8880441,0.001611447,0.004818774,0.00003823034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557705,0.001675821,0.1342225,0.0001877768,0.00007653552,0.0001458596,0.0007252045,0.0005165387,0.006679295],"genre_scores_gemma":[0.9825833,0.0005512467,0.01479465,0.00003641314,0.00001416289,0.00007815583,0.0003769195,0.00003636234,0.001528735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001953371,"threshold_uncertainty_score":0.006534636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006087198052391064,"score_gpt":0.201393826382605,"score_spread":0.1953066283302139,"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."}}