{"id":"W2020712591","doi":"10.1021/ja051714i","title":"Mapping Polypeptide Self-Recognition through <sup>1</sup>H Off-Resonance Relaxation","year":2005,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Fibrillogenesis; Spins; Relaxation (psychology); Peptide; Spin–lattice relaxation; Nuclear magnetic resonance; Analytical Chemistry (journal); Biochemistry; Fibril; Chromatography","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":[0.0001551595,0.0001284794,0.0001848342,0.000007316795,0.00008029047,0.00001715672,0.0002868229,0.00009408675,0.000006239577],"category_scores_gemma":[0.0000960394,0.00009201871,0.0003917721,0.0001690179,0.0001612497,0.00001494775,0.0001006502,0.000279688,0.000003312743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008809879,"about_ca_system_score_gemma":0.00007675645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009319576,"about_ca_topic_score_gemma":6.452685e-7,"domain_scores_codex":[0.9990912,0.00004319478,0.0003045499,0.0001501822,0.0002173599,0.0001935134],"domain_scores_gemma":[0.9990378,0.00001923737,0.000568795,0.0001959891,0.0001254758,0.00005268432],"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":[0.000066351,0.00006226806,0.001159844,0.000009914682,0.0001443089,5.961772e-7,0.0005807632,0.0003428353,0.9419302,0.000007916344,0.008767042,0.04692796],"study_design_scores_gemma":[0.001159847,0.0002153666,0.003097033,0.00008664927,0.0000988849,0.0002858841,0.0008788003,0.003741854,0.8222436,0.001056538,0.1666976,0.0004380181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950153,0.0008727852,0.002326187,0.001434349,0.00004386396,0.00007191255,0.000008223584,0.000008938402,0.0002184674],"genre_scores_gemma":[0.9501097,0.0008519055,0.04467555,0.003154883,0.001105391,0.000002702567,0.00001023715,0.00001744139,0.00007220271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579305,"threshold_uncertainty_score":0.3752414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00657576834337305,"score_gpt":0.2306883841057981,"score_spread":0.2241126157624251,"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."}}