{"id":"W2040177782","doi":"10.1002/prot.21080","title":"Exploring the relationship between funneled energy landscapes and two‐state protein folding","year":2006,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Folding funnel; Energy landscape; Native state; Folding (DSP implementation); Contact order; Downhill folding; Protein folding; Chemical physics; Random coil; Brownian dynamics; Observable; Chemistry; Crystallography; Physics; Brownian motion; Phi value analysis; Thermodynamics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.000137712,0.0002218189,0.0001505794,0.00007365169,0.0003899581,0.0001279318,0.0000940633,0.000101538,0.000003413309],"category_scores_gemma":[0.0000663376,0.0001503204,0.00004321054,0.0001434343,0.00007930002,0.00004515988,0.000109179,0.0001658466,7.267525e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001041094,"about_ca_system_score_gemma":0.00002692951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006488991,"about_ca_topic_score_gemma":0.0001878048,"domain_scores_codex":[0.9990396,0.00004224281,0.0003193889,0.0002000557,0.0001577005,0.0002409958],"domain_scores_gemma":[0.9994628,0.00003012107,0.0001601495,0.0002271496,0.00005422064,0.00006559746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008681573,0.0000493783,0.377904,0.00102435,0.0004140992,0.000004424694,0.0009635682,0.001084327,0.281618,0.07606842,0.0005540804,0.2594471],"study_design_scores_gemma":[0.005856495,0.001587901,0.6859614,0.0002333223,0.0002961579,0.0002009278,0.000741859,0.007483627,0.1222825,0.1426606,0.03055185,0.002143445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484687,0.0003337981,0.05014019,0.0001458516,0.00009725388,0.0004397913,0.00004069835,0.00003856437,0.0002951194],"genre_scores_gemma":[0.9939284,0.00002860244,0.005093392,0.00009784562,0.0003943704,0.00006667429,0.0001905256,0.00001835489,0.0001818709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3080573,"threshold_uncertainty_score":0.6129887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818378274914801,"score_gpt":0.2106309008640693,"score_spread":0.1924471181149213,"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."}}