{"id":"W1593845142","doi":"10.1002/9780470034590.emrstm1031","title":"Structure of Silk using Solid-State NMR","year":2008,"lang":"en","type":"reference-entry","venue":"Encyclopedia of Magnetic Resonance","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"SILK; Spider silk; Polymer science; Solid-state nuclear magnetic resonance; Crystallinity; Materials science; Synthetic fiber; Bombyx mori; Fiber; Chemistry; Composite material; Nuclear magnetic resonance; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001425933,0.0004973452,0.001058274,0.0001578062,0.0001205998,0.00003021407,0.0008750451,0.00054968,0.001572664],"category_scores_gemma":[0.0001028348,0.0004345648,0.0001709103,0.0003818633,0.0004510562,0.00009122643,0.0002102364,0.0002870666,0.00003964446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005841671,"about_ca_system_score_gemma":0.0006418152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004488537,"about_ca_topic_score_gemma":0.00003794682,"domain_scores_codex":[0.9966821,0.0001346702,0.001196098,0.0007153007,0.0007455059,0.0005263368],"domain_scores_gemma":[0.9975602,0.0001296034,0.0009818359,0.0009378393,0.0002622496,0.0001282803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002748332,0.0004560382,0.000904166,0.002953777,0.00003442522,0.00006489622,0.0009558077,0.0002643266,0.68911,0.0002243966,0.1757225,0.1290349],"study_design_scores_gemma":[0.0009453281,0.0003777325,0.006484748,0.001595157,0.0001634478,0.00006228,0.00004697201,0.0001087445,0.2706062,0.001260917,0.7172679,0.001080586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9261877,0.04607375,0.00005457041,0.00004876566,0.001417819,0.0007149249,0.005030618,0.00005947822,0.02041239],"genre_scores_gemma":[0.3031712,0.5997307,0.03745475,0.000211864,0.002878634,0.0001424433,0.0007141353,0.0003641925,0.05533203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6230164,"threshold_uncertainty_score":0.9998106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565143252960163,"score_gpt":0.2612173277762572,"score_spread":0.2455658952466555,"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."}}