{"id":"W2123356980","doi":"10.1002/pro.2606","title":"Protein unfolding rates correlate as strongly as folding rates with native structure","year":2014,"lang":"en","type":"article","venue":"Protein Science","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Protein folding; Topology (electrical circuits); Native state; Contact order; Folding (DSP implementation); Protein engineering; Chemistry; Denaturation (fissile materials); Protein stability; Stability (learning theory); Chemical physics; Crystallography; Biophysics; Biology; Computer science; Mathematics; Biochemistry; Enzyme","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":[0.002453563,0.0005920838,0.0006775154,0.001418445,0.0002309326,0.001046516,0.0002921974,0.0005158812,0.0007256735],"category_scores_gemma":[0.01312058,0.0003193567,0.0005120912,0.001232258,0.000437903,0.001186705,0.0005586931,0.0009078346,0.0007344084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196592,"about_ca_system_score_gemma":0.0001930938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005629535,"about_ca_topic_score_gemma":0.0007348859,"domain_scores_codex":[0.9984922,0.0002613771,0.0001792573,0.0005754315,0.0003497062,0.0001420237],"domain_scores_gemma":[0.9865955,0.006571299,0.003429508,0.002048655,0.00102745,0.0003276133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009991821,0.0002937797,0.6905873,0.0007172655,0.0008875561,0.0002355616,0.0006381716,0.03954455,0.1980113,0.003031919,0.002846142,0.06220723],"study_design_scores_gemma":[0.00002290571,0.0002817828,0.8625174,0.00004007919,0.0001372988,0.001001716,0.0002380624,0.04720822,0.07151457,0.008382525,0.008522654,0.0001327784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717273,0.002185005,0.01951748,0.0001944742,0.00005088794,0.00003912288,0.00279044,0.0005356741,0.002959663],"genre_scores_gemma":[0.9901921,0.0005719966,0.004117083,0.00005468015,0.00002238456,0.00003419526,0.004276501,0.00008971713,0.0006412928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002453563,"threshold_uncertainty_score":0.01297587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004615517132194791,"score_gpt":0.2525782823053929,"score_spread":0.2479627651731981,"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."}}