{"id":"W2312431213","doi":"10.1103/physrevlett.112.158103","title":"Single-Molecule Force Spectroscopy of Rapidly Fluctuating, Marginally Stable Structures in the Intrinsically Disordered Protein<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>α</mml:mi></mml:math>-Synuclein","year":2014,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"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; Force spectroscopy; Optical tweezers; Folding (DSP implementation); Diffusion; Physics; Extension (predicate logic); Molecule; Kinetics; Statistical physics; Chemical physics; Intrinsically disordered proteins; Energy (signal processing); Thermodynamics; Classical mechanics; Computer science; Quantum mechanics; Nuclear magnetic resonance","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":[0.0001617241,0.0001756484,0.0001280118,0.0002474147,0.0002767491,0.0001655718,0.0002173357,0.0003264131,0.0007777968],"category_scores_gemma":[0.0003765885,0.0001114873,0.000101472,0.0001858485,0.0003205164,0.0002344624,0.0001666731,0.0005564306,0.00008774432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223501,"about_ca_system_score_gemma":0.0001274009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247508,"about_ca_topic_score_gemma":0.001649508,"domain_scores_codex":[0.9999371,0.000007472098,0.00000235076,0.00001714435,0.00002156271,0.00001435157],"domain_scores_gemma":[0.9998071,0.00009931045,0.00003627517,0.00001319148,0.00001903232,0.0000251552],"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":[0.0001290487,0.00007799493,0.001000541,0.00004459939,0.00001331882,0.00018704,0.0001396797,0.00148415,0.9922081,0.0006134317,0.0002171029,0.003885105],"study_design_scores_gemma":[0.00006908896,0.0004778488,0.03561158,0.00002201905,0.00002115196,0.0004079862,0.0002099571,0.07882715,0.8824967,0.000690997,0.001111683,0.00005384334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997352,0.0001298457,0.001829989,0.00007258214,0.0000051876,0.000007407149,0.00006322111,0.0000279693,0.0005116715],"genre_scores_gemma":[0.9971933,0.0001311542,0.00209425,0.00002961741,0.000005665367,0.00001296935,0.00004748243,0.000007058326,0.0004784259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247508,"threshold_uncertainty_score":0.002602041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007646643998021741,"score_gpt":0.2389848157111169,"score_spread":0.2313381717130951,"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."}}