{"id":"W2912564285","doi":"10.1016/j.bpj.2018.11.1765","title":"Using Equilibrium Behavior to Reduce Energy Dissipation in Non-Equilibrium Biomolecular Processes","year":2019,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dissipation; Autocatalytic reaction; Square root; Folding (DSP implementation); Energy (signal processing); Efficient energy use; Statistical physics; Computer science; Physics; Thermodynamics; Mathematics; Mechanical engineering; Engineering","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":[0.0003269007,0.0003570878,0.0003148126,0.0003397622,0.0006149951,0.0005590479,0.0006351728,0.0003886205,0.002178958],"category_scores_gemma":[0.0008855973,0.0002503598,0.0001987546,0.000182419,0.0005265584,0.001616297,0.0005965641,0.000696762,0.0003244495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005052521,"about_ca_system_score_gemma":0.000303287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007004951,"about_ca_topic_score_gemma":0.001069073,"domain_scores_codex":[0.9998159,0.00002794827,0.00001151796,0.00004622428,0.00004796006,0.00005047547],"domain_scores_gemma":[0.9996723,0.0001441517,0.00004861718,0.00003755548,0.00006611444,0.00003129357],"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":[0.0001688745,0.0002868048,0.0004454915,0.0000884902,0.00001338658,0.00009719303,0.0001584167,0.003182727,0.9758248,0.01103464,0.0002272238,0.008471904],"study_design_scores_gemma":[0.00002349425,0.0002017424,0.0007108306,0.000009310653,0.0000130742,0.00005649834,0.00006708429,0.05782364,0.9368699,0.002613658,0.001586571,0.00002429447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092312,0.0005726647,0.08628621,0.0002623298,0.00007813969,0.00005390284,0.00004612937,0.0004112749,0.003058202],"genre_scores_gemma":[0.9884629,0.000222033,0.009109415,0.0000985399,0.00001020351,0.00005020395,0.00004011136,0.0001197044,0.001886906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002178958,"threshold_uncertainty_score":0.00728935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679439908844253,"score_gpt":0.2604588249050557,"score_spread":0.2436644258166132,"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."}}