{"id":"W2143092506","doi":"10.1002/prot.20677","title":"A new catalog of protein β‐sheets","year":2005,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Spider; Folding (DSP implementation); Annotation; Computer science; Computational biology; Protein folding; Domain (mathematical analysis); Set (abstract data type); Polypeptide chain; Protein structure; Structural motif; Crystallography; Structural alignment; Chemistry; Amino acid; Biology; Peptide sequence; Artificial intelligence; Biochemistry; Mathematics; Sequence alignment; Engineering; Programming language; Structural engineering","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":[0.001040525,0.001291046,0.001451206,0.01220545,0.001227966,0.002753494,0.001282458,0.0008416104,0.01179795],"category_scores_gemma":[0.002741556,0.0005512384,0.0007992099,0.009471463,0.0003333395,0.003204414,0.001297044,0.001202398,0.01008417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780158,"about_ca_system_score_gemma":0.001976066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009577031,"about_ca_topic_score_gemma":0.001320576,"domain_scores_codex":[0.9990613,0.0001033636,0.0001981802,0.000191291,0.0003936694,0.00005226193],"domain_scores_gemma":[0.9967538,0.0004178666,0.0003265204,0.0008169283,0.001373897,0.0003109745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007431929,0.0003421003,0.01530192,0.002713583,0.0001969205,0.001839055,0.0006591147,0.004036297,0.06125588,0.02034336,0.1755861,0.7169825],"study_design_scores_gemma":[0.0000923069,0.0002404905,0.01768971,0.0004990468,0.000153222,0.004647542,0.000282737,0.007044236,0.01276771,0.01375624,0.9426855,0.0001412577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1729153,0.03063723,0.2939312,0.001937667,0.002142966,0.001168743,0.384844,0.0407406,0.07168233],"genre_scores_gemma":[0.07359316,0.01205944,0.2611206,0.0006365218,0.0004735602,0.0008152146,0.6259935,0.001959078,0.02334883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01220545,"threshold_uncertainty_score":0.03946805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003820180209504846,"score_gpt":0.1984477464750891,"score_spread":0.1946275662655843,"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."}}