{"id":"W4405975778","doi":"10.1101/2024.12.26.630424","title":"Extended Plasmonic Nanostructures Templated by Tobacco Mosaic Virus Coat Protein","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Academic Computer Centre Cyfronet, AGH University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; McGill University; Infrastruktura PL-Grid; KU Leuven; Centre québécois sur les matériaux fonctionnels; Fonds Wetenschappelijk Onderzoek","keywords":"Nanorod; Nanostructure; Coat protein; Plasmon; Materials science; Nanotechnology; Nanometre; Metamaterial; Scalability; Nanoparticle; Nanoscopic scale; Hexagonal crystal system; Optoelectronics; Computer science; Chemistry; RNA; Crystallography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111363,0.0001622538,0.000143894,0.00008002739,0.0001178577,0.0003002918,0.0001707972,0.0002748697,0.0005131544],"category_scores_gemma":[0.0001420556,0.0002361374,0.0001540436,0.00007427181,0.000220109,0.0001525737,0.0001786317,0.0002693759,0.0002926817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002542846,"about_ca_system_score_gemma":0.000138207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000569689,"about_ca_topic_score_gemma":0.001155133,"domain_scores_codex":[0.9999305,0.000005158849,0.000003740458,0.00001800565,0.00002630658,0.00001627547],"domain_scores_gemma":[0.9999126,0.00002012206,0.00002263748,0.00001203093,0.00001163543,0.00002092787],"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":[0.000009399248,0.000005405081,0.00003873844,0.000006453882,0.000001452721,0.00002481715,0.00001051512,0.0001201707,0.9995079,0.00006609152,0.00001592444,0.0001931399],"study_design_scores_gemma":[0.000009303237,0.00004533009,0.001028655,0.000002219472,0.000004396848,0.00005583071,0.00001384519,0.002392622,0.9952134,0.00005073148,0.001179915,0.000003751166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935122,0.0002789931,0.004249948,0.00003613372,0.00002607715,0.0000167769,0.00007349553,0.00009945604,0.001706886],"genre_scores_gemma":[0.9935793,0.0001313164,0.003935183,0.00002282531,0.00000633926,0.00001400518,0.0001079551,0.00002612543,0.00217703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000569689,"threshold_uncertainty_score":0.001845002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006907521691749952,"score_gpt":0.2089949502906825,"score_spread":0.2020874285989326,"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."}}