{"id":"W2156827915","doi":"10.1109/icassp.2005.1416457","title":"Adaptive Controlled Brownian Dynamics Approach for Permeation in Bio-Nanotubes","year":2006,"lang":"en","type":"article","venue":"","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brownian dynamics; Brownian motion; Permeation; Ion; Stochastic dynamics; Ion channel; Statistical physics; Chemical physics; Femtosecond; Channel (broadcasting); Materials science; Biological system; Molecular dynamics; Dynamics (music); Nanotechnology; Physics; Chemistry; Computer science; Membrane; Computational chemistry; Optics; Quantum mechanics","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":[0.0004886786,0.000573676,0.0006051775,0.0003869011,0.0004341982,0.0005708761,0.00131178,0.001079847,0.00157663],"category_scores_gemma":[0.001213711,0.0002926524,0.0007369228,0.0002446724,0.001156222,0.0008124463,0.0007028363,0.0009208574,0.000257499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685419,"about_ca_system_score_gemma":0.0008983048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005422683,"about_ca_topic_score_gemma":0.002262574,"domain_scores_codex":[0.9997855,0.00008313923,0.000007188554,0.00003408996,0.00007361212,0.00001644723],"domain_scores_gemma":[0.9997002,0.0001618954,0.00003137911,0.00001813144,0.00006007448,0.00002842864],"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":[0.00002697118,0.00002468949,0.0002110909,0.00002863346,0.00002654063,0.00006949008,0.00004236936,0.9329696,0.004652123,0.05823249,0.0002061737,0.003509789],"study_design_scores_gemma":[0.000003208526,0.000003592135,0.00001233814,7.380631e-7,9.679753e-7,0.000002063248,8.821563e-7,0.9978637,0.00009970016,0.001893042,0.000117853,0.0000018427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02871851,0.0003322229,0.9674457,0.0003190669,0.00006504766,0.00004619878,0.00002010073,0.0001195085,0.002933707],"genre_scores_gemma":[0.7793041,0.0008223773,0.2065723,0.0002029864,0.0001123052,0.0005379138,0.00009220371,0.0001836791,0.01217206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005422683,"threshold_uncertainty_score":0.01078224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00972672527105247,"score_gpt":0.2195120522944985,"score_spread":0.209785327023446,"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."}}