{"id":"W2016524151","doi":"10.1103/physrevlett.109.068102","title":"Transition Path Times for Nucleic Acid Folding Determined from Energy-Landscape Analysis of Single-Molecule Trajectories","year":2012,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Energy landscape; Folding (DSP implementation); RNA; Chemical physics; Nucleic acid; Molecule; DNA; Physics; Downhill folding; Energy (signal processing); Protein folding; Chemistry; Biophysics; Phi value analysis; Biology; Thermodynamics; Nuclear magnetic resonance; Quantum mechanics; Biochemistry","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":[0.0003307727,0.000185767,0.0001856441,0.0008939055,0.000287307,0.0003939467,0.000273411,0.0002895614,0.001275058],"category_scores_gemma":[0.001697343,0.0001580008,0.0002770741,0.0005351839,0.0003286059,0.0006899567,0.0001339209,0.0005918364,0.0001426017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188373,"about_ca_system_score_gemma":0.0003471148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302098,"about_ca_topic_score_gemma":0.002030108,"domain_scores_codex":[0.9999317,0.0000104581,0.00000449423,0.00002349676,0.00001812251,0.00001168488],"domain_scores_gemma":[0.9994735,0.0003509725,0.00004918348,0.00003755786,0.00004646524,0.00004230652],"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":[0.0007465879,0.0001992305,0.0196196,0.0002179959,0.000177364,0.0004478039,0.0007389116,0.4359457,0.4652897,0.03983077,0.0009981326,0.03578828],"study_design_scores_gemma":[0.00001063497,0.00006686561,0.009162573,0.00001432376,0.0000167952,0.00008317879,0.00005797155,0.9284312,0.05712615,0.00438966,0.0005973671,0.00004336695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705957,0.0002066833,0.02770524,0.00007587013,0.000005728024,0.00002212181,0.0002818987,0.0002041105,0.0009026313],"genre_scores_gemma":[0.9927724,0.0001250359,0.006527011,0.000008298106,9.585394e-7,0.00003228895,0.0002862039,0.00003198743,0.0002158319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002302098,"threshold_uncertainty_score":0.008622229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009412123103863999,"score_gpt":0.2466914053925126,"score_spread":0.2372792822886486,"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."}}