{"id":"W2084710048","doi":"10.1017/s1431927604881972","title":"Raman Microspectroscopy: An Ideal Technique to Study the Conformation and Orientation of Proteins in Silkworm and Spider Silk Fibers","year":2004,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"SILK; Spider silk; Raman microspectroscopy; Materials science; Polymer science; Orientation (vector space); Raman spectroscopy; Ideal (ethics); Spider; Biophysics; Composite material; Optics; Biology; Zoology; Physics; Geometry","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":[0.0003250671,0.0002777078,0.0001440428,0.0002739869,0.0002786894,0.0002389792,0.0004414652,0.0004863194,0.001687546],"category_scores_gemma":[0.0001986373,0.0001778392,0.000156576,0.0001747627,0.0003325989,0.0004178872,0.0002981045,0.000589035,0.0005494339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001439595,"about_ca_system_score_gemma":0.0002084054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000425936,"about_ca_topic_score_gemma":0.00116936,"domain_scores_codex":[0.9998389,0.00002048442,0.00000506878,0.00003744693,0.00007709888,0.00002086507],"domain_scores_gemma":[0.999894,0.00003632559,0.000015751,0.00001367406,0.00002542058,0.00001487128],"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":[0.00001675615,0.000006771283,0.00009248978,0.00002984293,0.000003036565,0.00002749784,0.00001643884,0.00007327989,0.9955266,0.0005503581,0.0001813788,0.003475474],"study_design_scores_gemma":[0.0000156179,0.000140431,0.002629486,0.000006704153,0.00001104102,0.0004641919,0.00005051373,0.005363978,0.9835555,0.0006159112,0.007129034,0.00001764433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6950026,0.005510536,0.2725697,0.001502881,0.0005737033,0.0002000982,0.0008105624,0.00131067,0.0225192],"genre_scores_gemma":[0.8251771,0.002376469,0.1574724,0.0003769458,0.0001837892,0.0001055545,0.0004157045,0.00014412,0.01374799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001687546,"threshold_uncertainty_score":0.005645454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009167757035202732,"score_gpt":0.2884929605540779,"score_spread":0.2793252035188752,"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."}}