{"id":"W2060575511","doi":"10.1002/prot.21475","title":"Ranking the factors that contribute to protein β‐sheet folding","year":2007,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Beta sheet; Folding (DSP implementation); Lattice protein; Protein folding; Function (biology); Hydrogen bond; Hydrophobic effect; Ranking (information retrieval); Chemistry; Energy (signal processing); Biological system; Protein structure; Chemical physics; Computer science; Topology (electrical circuits); Mathematics; Combinatorics; Artificial intelligence; Biology; Molecule; Engineering; Biochemistry; Statistics","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":[0.0003669831,0.0002757228,0.0001804607,0.00008977744,0.0003977847,0.0001268969,0.0001954985,0.0002415883,0.00001904434],"category_scores_gemma":[0.0001398704,0.0001725996,0.00007719046,0.0001911447,0.00007997427,0.00002249356,0.0001627237,0.000216988,0.000002687513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002736447,"about_ca_system_score_gemma":0.00003843841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002021825,"about_ca_topic_score_gemma":0.0001445183,"domain_scores_codex":[0.9987321,0.00002584021,0.0003286798,0.0002265717,0.0002746254,0.0004122151],"domain_scores_gemma":[0.9992065,0.00001706628,0.0001726268,0.0003479369,0.00009954687,0.0001563304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001253464,0.00003428422,0.02531065,0.0003486755,0.000350457,0.000003801776,0.001488356,0.00015183,0.8656397,0.005639349,0.0008168849,0.0989625],"study_design_scores_gemma":[0.003064595,0.001714343,0.07418069,0.0001619466,0.0001617849,0.0001402178,0.002990028,0.001279805,0.7915258,0.006118326,0.117049,0.001613391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7122366,0.0001802491,0.2851952,0.0001996279,0.0002872041,0.001367747,0.00005373735,0.0000407158,0.0004389632],"genre_scores_gemma":[0.9885443,0.00001077723,0.01014324,0.0007925768,0.0001929615,0.00002218838,0.0001312893,0.00002045473,0.0001422436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2763077,"threshold_uncertainty_score":0.7038409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007492192609999836,"score_gpt":0.2182721158872928,"score_spread":0.210779923277293,"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."}}