{"id":"W2033816679","doi":"10.1016/j.bpj.2013.11.2209","title":"Mechanically Tightening a Protein Slipknot into a Trefoil Knot","year":2014,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Trefoil; Trefoil knot; Knot (papermaking); Force spectroscopy; Shearing (physics); Folding (DSP implementation); Molecular dynamics; Biophysics; Loop (graph theory); Protein folding; Chemistry; Polypeptide chain; Crystallography; Molecule; Amino acid; Topology (electrical circuits); Physics; Biology; Materials science; Mathematics; Biochemistry; Computational chemistry; Engineering; Knot theory; Structural engineering; Combinatorics; Thermodynamics","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":[0.0002877265,0.000334299,0.0005734201,0.0002883776,0.0009603145,0.0007741182,0.0007474176,0.0007708626,0.004164848],"category_scores_gemma":[0.0007410796,0.0004411806,0.0004074348,0.0002074815,0.0009233038,0.001393795,0.001784966,0.001453537,0.0008995184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003815377,"about_ca_system_score_gemma":0.0004629757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006218313,"about_ca_topic_score_gemma":0.000668272,"domain_scores_codex":[0.9996901,0.00001684691,0.00001338195,0.00007185596,0.00008806781,0.0001197949],"domain_scores_gemma":[0.9994411,0.00009093351,0.00009650766,0.00009496834,0.00003749373,0.0002389868],"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":[0.0002537612,0.0001423288,0.000811053,0.00009273444,0.00003884594,0.0004614666,0.0002803165,0.007041076,0.9820358,0.001689368,0.0003447044,0.006808408],"study_design_scores_gemma":[0.0001685634,0.002029159,0.007751951,0.00008976564,0.00005823724,0.0005474408,0.0006286157,0.07009043,0.9031557,0.00263196,0.0127104,0.0001377579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829699,0.0001490075,0.0152113,0.0001594528,0.0001086188,0.00002593907,0.00001854326,0.0001844714,0.001172706],"genre_scores_gemma":[0.9920964,0.00009716991,0.00520417,0.0001381652,0.00001668111,0.00001728921,0.00004626065,0.00007918903,0.002304554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004164848,"threshold_uncertainty_score":0.01393276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006095915200280304,"score_gpt":0.2538478401232035,"score_spread":0.2477519249229233,"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."}}