{"id":"W3004836689","doi":"10.1016/j.bpj.2019.11.3334","title":"Direct Equilibrium Protein Folding-Unfolding of Mechanically Labile Alpha Helical Protein by Atomic Force Microscopy","year":2020,"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":"Equilibrium unfolding; Chemistry; Protein folding; Force spectroscopy; Unfolded protein response; Context (archaeology); Atomic force microscopy; Crystallography; Native state; Folding (DSP implementation); Biophysics; Equilibrium thermodynamics; Molecular dynamics; Chemical physics; Thermodynamic equilibrium; Nanotechnology; Thermodynamics; Endoplasmic reticulum; Materials science; Physics; Computational chemistry; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001453825,0.000288433,0.0004724205,0.00003481539,0.0001657795,0.0001286837,0.0005254127,0.00008929408,0.0003212838],"category_scores_gemma":[0.00001408926,0.00025627,0.0003678708,0.0003076191,0.0001179091,0.0001893595,0.0001897151,0.0004663971,0.00004901164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004471261,"about_ca_system_score_gemma":0.00009837217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323218,"about_ca_topic_score_gemma":9.020862e-8,"domain_scores_codex":[0.9981934,0.00006454648,0.0005936266,0.0003932115,0.0002874874,0.0004677182],"domain_scores_gemma":[0.9988729,0.00003086354,0.0003652688,0.0002504058,0.0001164971,0.0003640867],"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":[0.00006562246,0.0002231494,0.00004193123,0.00003123373,0.00005243052,0.000001250801,0.00005419425,0.000002562636,0.9853228,0.01082245,0.002547754,0.0008346532],"study_design_scores_gemma":[0.0004726127,0.00042939,0.000004933173,0.0001057019,0.00002798718,0.000002215264,0.00002876155,0.0008256753,0.9904106,0.002096868,0.005322659,0.0002726539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402663,0.0000293444,0.0567613,0.001160872,0.00003159168,0.0007642925,0.000197007,0.00009329757,0.0006960622],"genre_scores_gemma":[0.9912805,0.000001613768,0.007505127,0.0001270159,0.0005559496,0.0001175288,0.00002285462,0.00005446532,0.0003349609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05101425,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00967294221785991,"score_gpt":0.2642016986491532,"score_spread":0.2545287564312932,"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."}}