{"id":"W2316761514","doi":"10.11145/bmc.2016.04.167","title":"Using Rapid Kinetics and Molecular Dynamics Simulations to Study Biomolecular Information Processing and Design","year":2016,"lang":"en","type":"article","venue":"Biomath Communications","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Translation (biology); Ribosome; Rational design; Synthetic biology; Protein biosynthesis; Ribonucleoprotein; Computational biology; Computer science; RNA; Biomolecule; Messenger RNA; Process (computing); Structural biology; Biology; Biological system; Nanotechnology; Gene; Cell biology; Genetics; Materials science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002014097,0.0001253813,0.00009671253,0.00009868044,0.0002304402,0.00007210967,0.0002576503,0.00007777824,0.000002357827],"category_scores_gemma":[0.0001340339,0.000104938,0.00001929397,0.0001441321,0.0000782671,0.00002132188,0.0003468167,0.00002154621,0.000002387267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000022835,"about_ca_system_score_gemma":0.00004358346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008916265,"about_ca_topic_score_gemma":0.00001020175,"domain_scores_codex":[0.9992205,0.0001655611,0.0002227851,0.0001625913,0.00009400671,0.0001345758],"domain_scores_gemma":[0.9989391,0.00003319394,0.00008870248,0.0007363577,0.0001165877,0.00008607062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001272584,0.00006867601,0.000233092,0.000005791237,0.00002400872,3.046711e-7,0.0001859311,0.00001546689,0.9366813,0.0003605932,0.000002983644,0.06240918],"study_design_scores_gemma":[0.001966811,0.001412363,0.00352035,0.0001679438,0.0002220745,0.00006673487,0.0009650523,0.0236933,0.9572082,0.001916594,0.007861182,0.0009994169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3925124,0.0005776987,0.6057761,0.0005085786,0.00001190755,0.0005257161,0.00002371127,0.00001608531,0.00004783807],"genre_scores_gemma":[0.8932306,0.00007802534,0.1064811,0.0001211823,0.000007404813,0.0000372527,0.00002398312,0.00001449735,0.000005919129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5007182,"threshold_uncertainty_score":0.4279246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040328588427903,"score_gpt":0.3034562798026958,"score_spread":0.2631276913747929,"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."}}