{"id":"W3123391184","doi":"10.1103/physrevlett.126.038102","title":"Conformational Shannon Entropy of mRNA Structures from Force Spectroscopy Measurements Predicts the Efficiency of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"> <mml:mo form=\"prefix\">−</mml:mo> <mml:mn>1</mml:mn> </mml:math> Programmed Ribosomal Frameshift Stimulation","year":2021,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Council Canada; Canadian Institutes of Health Research","keywords":"Physics; Ribosome; Entropy (arrow of time); RNA; Crystallography; Thermodynamics; Biology; Chemistry","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":[0.0009279458,0.0005138037,0.0002925692,0.0008928585,0.000214379,0.0004133394,0.0003376712,0.0004835197,0.0009776088],"category_scores_gemma":[0.003535668,0.0002859064,0.000310458,0.0004661248,0.0007134941,0.0006529746,0.000305979,0.0004216018,0.0004366823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000535342,"about_ca_system_score_gemma":0.0002887831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150634,"about_ca_topic_score_gemma":0.001797236,"domain_scores_codex":[0.9996065,0.00008834444,0.00001927518,0.00006861845,0.0001759412,0.00004134425],"domain_scores_gemma":[0.9983335,0.001141946,0.0002427784,0.0001374179,0.00008299229,0.00006146056],"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":[0.0004563009,0.0002204856,0.03575388,0.0004546622,0.0001524617,0.0002046102,0.0002887697,0.1938129,0.7009798,0.01316403,0.001595353,0.05291665],"study_design_scores_gemma":[0.00001487088,0.0001883641,0.06552984,0.00003384191,0.00003094496,0.0001911626,0.00005190392,0.6360968,0.2876408,0.009020424,0.001079574,0.0001214265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418627,0.0005327234,0.05294204,0.0002486404,0.00002747964,0.00001998788,0.0004072524,0.0002364297,0.003722701],"genre_scores_gemma":[0.9941046,0.0002853106,0.004610764,0.00003030367,0.00001544685,0.0000230936,0.0004286433,0.000023582,0.0004783561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150634,"threshold_uncertainty_score":0.004907489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624764011890059,"score_gpt":0.2585318469912209,"score_spread":0.2422842068723203,"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."}}