{"id":"W4253794734","doi":"10.1039/c7cp90146a","title":"Correction: A critical comparison of coarse-grained structure-based approaches and atomic models of protein folding","year":2017,"lang":"en","type":"erratum","venue":"Physical Chemistry Chemical Physics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"","keywords":"Protein folding; Folding (DSP implementation); Protein structure prediction; Statistical physics; Physics; Chemistry; Protein structure; Computational chemistry; Engineering; Nuclear magnetic resonance","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":[0.01245721,0.003326468,0.003096207,0.006758478,0.004600357,0.006269831,0.006473072,0.00783491,0.09668047],"category_scores_gemma":[0.1841369,0.001912365,0.002702153,0.003978331,0.004214917,0.004566125,0.004871978,0.01414884,0.05008956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006393834,"about_ca_system_score_gemma":0.007983352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105832,"about_ca_topic_score_gemma":0.0133307,"domain_scores_codex":[0.9832843,0.002694043,0.003077957,0.001958955,0.007926071,0.001058561],"domain_scores_gemma":[0.8510997,0.03416136,0.005372258,0.007481606,0.0986073,0.003277831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002795765,0.000004075088,0.00003002108,0.0001493671,0.0000120895,0.00005533466,0.00001496726,0.00002977478,0.00003498804,0.0004249329,0.9965476,0.002668755],"study_design_scores_gemma":[0.00009214754,0.00002390065,0.0008328836,0.0007524663,0.00005406628,0.0004541543,0.00008559886,0.0003482552,0.0005823679,0.002926499,0.9937829,0.00006478217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0001004349,0.0009804232,0.0007768211,0.031523,0.9636165,0.00003445763,0.001366235,0.0004772938,0.001124885],"genre_scores_gemma":[0.02163506,0.01220922,0.01699291,0.1684279,0.5525036,0.001062673,0.01450146,0.00819754,0.2044696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09668047,"threshold_uncertainty_score":0.3234284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276879725395136,"score_gpt":0.2768527052740222,"score_spread":0.2540839080200709,"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."}}