{"id":"W2078551614","doi":"10.3390/ijms10041567","title":"Folding by Numbers: Primary Sequence Statistics and Their Use in Studying Protein Folding","year":2009,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Protein folding; Sequence (biology); Protein tertiary structure; Computational biology; Protein secondary structure; Context (archaeology); Protein structure; Folding (DSP implementation); Statistical analysis; Protein sequencing; Protein structure prediction; Peptide sequence; Biology; Statistics; Computer science; Bioinformatics; Mathematics; Biochemistry; Paleontology; Engineering","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":[0.004872785,0.001572901,0.00287508,0.006545767,0.0004827729,0.002057477,0.0024783,0.001848181,0.002146856],"category_scores_gemma":[0.008727037,0.0007876164,0.0008537308,0.009351145,0.004478325,0.005274367,0.001279974,0.003393365,0.0025112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084206,"about_ca_system_score_gemma":0.001572756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346636,"about_ca_topic_score_gemma":0.001572494,"domain_scores_codex":[0.998412,0.0004939936,0.0001601143,0.0002955205,0.0005991711,0.00003917331],"domain_scores_gemma":[0.993089,0.005153805,0.0004360668,0.0003054125,0.0008608704,0.0001548375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007207472,0.0000594501,0.0009738128,0.008913373,0.000146197,0.0001184624,0.0001842495,0.002051882,0.001116126,0.0502191,0.0180013,0.9181439],"study_design_scores_gemma":[0.00002780796,0.0001812885,0.003238911,0.004399194,0.000138052,0.001731895,0.0002144739,0.002104548,0.001501738,0.1151938,0.8711104,0.0001579638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001941054,0.9933906,0.004302806,0.0005544518,0.0003399211,0.0000106936,0.00003754238,0.00002710466,0.001142843],"genre_scores_gemma":[0.002491779,0.9902963,0.005188716,0.0003892927,0.000754428,0.00004041074,0.00006740062,0.00001801011,0.0007537444],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006545767,"threshold_uncertainty_score":0.02577007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409191849023288,"score_gpt":0.3313760387848197,"score_spread":0.2972841202945868,"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."}}