{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003477736,0.0001879461,0.0002176003,0.00001128943,0.0000995903,0.000061878,0.0001489213,0.0002463665,0.0005232163],"category_scores_gemma":[0.000032145,0.0001535472,0.0001240297,0.0002357379,0.00008786054,0.00006824427,0.0000705505,0.0008144085,0.000006748417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003707672,"about_ca_system_score_gemma":0.00005951494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002825419,"about_ca_topic_score_gemma":6.525844e-7,"domain_scores_codex":[0.9990644,0.000007835547,0.0002080418,0.0003065887,0.0001706758,0.0002423939],"domain_scores_gemma":[0.9995937,0.00006865008,0.00005469258,0.0001620814,0.00005720389,0.0000636972],"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":[0.00001618993,0.00002545101,0.001239427,0.0001759273,0.0001023932,0.000002798309,0.00007106271,0.000006731286,0.9931724,0.00230917,0.002352387,0.0005260659],"study_design_scores_gemma":[0.0001441998,0.000006903284,0.0001019388,0.0001937294,0.00003890929,0.000003243428,0.00005654959,0.0008108576,0.9854419,0.003753824,0.009287422,0.0001605531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907104,0.004013513,0.00006856906,0.0002741855,0.000182502,0.00005456924,0.0001249043,0.00009737975,0.004473964],"genre_scores_gemma":[0.9985515,0.000004999486,0.0003443182,0.00002174734,0.0006318184,0.000003524355,0.00009200194,0.00001891551,0.0003311882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007841073,"threshold_uncertainty_score":0.6261474,"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."}}