{"id":"W1964885194","doi":"10.1007/s00396-012-2866-9","title":"Elucidation of the structure of poly(γ-benzyl-l-glutamate) nanofibers and gel networks in a helicogenic solvent","year":2012,"lang":"en","type":"article","venue":"Colloid & Polymer Science","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Transmission electron microscopy; Nanofiber; Small-angle X-ray scattering; Size-exclusion chromatography; Materials science; Polymerization; Fourier transform infrared spectroscopy; Crystallography; Branching (polymer chemistry); Solvent; Gel permeation chromatography; Polymer chemistry; Self-assembly; Toluene; Chemical engineering; Scattering; Chemistry; Polymer; Organic chemistry; Nanotechnology; Composite material; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006944596,0.0001465907,0.000248475,0.0001289786,0.0001487999,0.00005622114,0.0006137014,0.00007249605,0.0001069415],"category_scores_gemma":[0.00004471239,0.0001008825,0.00004378691,0.0007182125,0.0009132602,0.0006271166,0.0003137969,0.0000569827,0.00000371384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000475212,"about_ca_system_score_gemma":0.0001633016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391783,"about_ca_topic_score_gemma":0.00005349202,"domain_scores_codex":[0.9982361,0.00007491103,0.0004232575,0.0002806509,0.0004801012,0.0005050333],"domain_scores_gemma":[0.9990914,0.00003348362,0.000288588,0.0004062598,0.00007149585,0.0001087675],"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":[0.00002413537,0.00003808954,0.02612394,0.00002505887,0.000001504577,1.204146e-7,0.000879585,0.00000671679,0.9721667,0.0003869169,0.00001685355,0.0003303805],"study_design_scores_gemma":[0.0002163397,0.00002458676,0.05650081,0.00007063134,0.00001117733,0.000007573159,0.0001377002,0.0001657465,0.9427199,0.00002408627,0.00001276923,0.0001087138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953421,0.003046418,0.00005442719,0.00006969778,0.001153278,0.0002536436,0.00002095565,0.00001141095,0.00004801377],"genre_scores_gemma":[0.9995736,0.00003644929,0.000166489,0.00008853247,0.00006991311,0.000004175991,0.000001047493,0.000008300489,0.00005152973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03037687,"threshold_uncertainty_score":0.4113871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006895586841182784,"score_gpt":0.2252295630352481,"score_spread":0.2183339761940653,"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."}}