{"id":"W4414793152","doi":"10.1103/b24h-v7by","title":"Efficiently Driving <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant=\"normal\">F</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> Molecular Motor in Experiment by Suppressing Nonequilibrium Variation","year":2025,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Alliance de recherche numérique du Canada; Alexander von Humboldt-Stiftung","keywords":"Non-equilibrium thermodynamics; Molecular motor; Dissipation; Work (physics); Energy (signal processing); Kinetic energy; Chemical energy; Clamp","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000286451,0.0004150921,0.0002526645,0.0002379826,0.0003442622,0.0008874265,0.0007409821,0.0005390694,0.02397575],"category_scores_gemma":[0.0007975959,0.0002197746,0.0001575189,0.0002745989,0.0003729236,0.001090066,0.0003996832,0.0006570207,0.007716573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005358607,"about_ca_system_score_gemma":0.0005022022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444068,"about_ca_topic_score_gemma":0.002639828,"domain_scores_codex":[0.9998289,0.00001887947,0.00001103364,0.0000431748,0.0000708161,0.0000270468],"domain_scores_gemma":[0.9997243,0.00008240212,0.00003402694,0.00009355193,0.0000413889,0.00002432051],"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":[0.0002981104,0.0001994418,0.001189725,0.0002943149,0.00002963613,0.0001148421,0.0001150349,0.01136644,0.8227636,0.0334399,0.04323093,0.08695815],"study_design_scores_gemma":[0.00007143197,0.000121404,0.001332385,0.00001844245,0.00001515264,0.00009408011,0.00003400396,0.07455081,0.8388786,0.004279718,0.08054779,0.00005621349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3757548,0.0008501343,0.4421071,0.002982032,0.001152924,0.0002728366,0.005174988,0.03363628,0.1380689],"genre_scores_gemma":[0.7863023,0.001123405,0.15912,0.0008027134,0.00007041125,0.0002908715,0.004077921,0.005443737,0.04276864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02397575,"threshold_uncertainty_score":0.08020693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009291029763354705,"score_gpt":0.2514367106901897,"score_spread":0.242145680926835,"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."}}