{"id":"W4391540100","doi":"10.1038/s41557-023-01432-6","title":"Near-atomic-resolution structure of J-aggregated helical light-harvesting nanotubes","year":2024,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Division of Chemistry; National Institute of General Medical Sciences; National Science Foundation; National Institutes of Health; University of California, Los Angeles; U.S. Department of Energy","keywords":"Supramolecular chemistry; Chromophore; Cyanine; Chemistry; Amphiphile; Nanotechnology; J-aggregate; Supramolecular assembly; Chemical physics; Crystallography; Materials science; Crystal structure; Molecule; Photochemistry; Polymer; Fluorescence; Physics; Optics","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":[0.00006511715,0.0001258833,0.0001255906,0.0001966398,0.000448153,0.0004019643,0.0003340263,0.0003503271,0.001449248],"category_scores_gemma":[0.0002132097,0.0001299164,0.0001392671,0.0001570171,0.0002296844,0.0003582098,0.0001398633,0.0006693859,0.0002796297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574571,"about_ca_system_score_gemma":0.0001820419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438691,"about_ca_topic_score_gemma":0.002522692,"domain_scores_codex":[0.999957,0.000002794562,0.000002023753,0.00001309476,0.00001272362,0.00001237096],"domain_scores_gemma":[0.9998307,0.00004767221,0.0000469435,0.00001555089,0.00002717115,0.00003191609],"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":[0.0002542075,0.0000810572,0.002389903,0.00006147446,0.00001713465,0.0005304692,0.0001859886,0.002005784,0.9903437,0.001291864,0.001033619,0.001804823],"study_design_scores_gemma":[0.00004642739,0.0002529362,0.1218681,0.00004686964,0.00006562228,0.001347042,0.001028933,0.04642391,0.8197656,0.00152691,0.007563039,0.00006466123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955801,0.0002638066,0.001119579,0.000130744,0.00001367214,0.00000372155,0.0003684602,0.00009735836,0.002422525],"genre_scores_gemma":[0.9969808,0.0001431851,0.0009693984,0.00005655818,0.000008337552,0.000004204388,0.0007292929,0.00001791334,0.001090249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002438691,"threshold_uncertainty_score":0.004848957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003802481586370261,"score_gpt":0.2462376692350293,"score_spread":0.242435187648659,"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."}}