{"id":"W2027870753","doi":"10.1109/nano.2010.5697990","title":"Microchannel molecular communication with nanoscale carriers: Brownian motion versus active transport","year":2010,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Molecular communication; Brownian motion; Molecular motor; Transmitter; Vesicle; Microchannel; Physics; Nanotechnology; Motion (physics); Nanoscopic scale; Computer science; Biological system; Chemistry; Materials science; Classical mechanics; Telecommunications; Biology; Membrane; Quantum mechanics; Channel (broadcasting)","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":[0.0008686756,0.0004275387,0.0006107099,0.0002569508,0.0003812363,0.001183289,0.0006351728,0.001285183,0.001380436],"category_scores_gemma":[0.002928051,0.0001974535,0.0002603554,0.0002685871,0.001004106,0.002893104,0.0006285782,0.0005787042,0.0002792413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004927548,"about_ca_system_score_gemma":0.0002940432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003621846,"about_ca_topic_score_gemma":0.0003325336,"domain_scores_codex":[0.9996277,0.0001092673,0.00002033801,0.00005644029,0.0001192276,0.00006695327],"domain_scores_gemma":[0.9980679,0.001469299,0.0001834282,0.0001177909,0.0001122256,0.00004930504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009781686,0.0002815042,0.000706082,0.001337624,0.00005831864,0.0003997658,0.0005257595,0.196118,0.2218107,0.5134944,0.0009281804,0.06336144],"study_design_scores_gemma":[0.0001829581,0.001579596,0.0006022255,0.0001482523,0.00009336774,0.0004104358,0.0002385921,0.7113904,0.1911462,0.07800762,0.01607019,0.0001301445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6645404,0.02418159,0.2768063,0.00167672,0.0005524014,0.0001742776,0.00009060478,0.0002409426,0.03173681],"genre_scores_gemma":[0.9663447,0.00563567,0.02464557,0.0001422268,0.0001011867,0.00009024345,0.0000278347,0.00003019049,0.002982498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001380436,"threshold_uncertainty_score":0.004618049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005720093690138475,"score_gpt":0.1937790982486958,"score_spread":0.1880590045585573,"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."}}