{"id":"W2907226752","doi":"10.1002/anie.201812887","title":"Helicoidal Patterning of Nanorods with Polymer Ligands","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; Ministry of Education and Science of the Russian Federation; National Science Foundation; National Institutes of Health; Cystic Fibrosis Foundation","keywords":"Nanorod; Polymer; Materials science; Morphology (biology); Nanoparticle; Nanotechnology; Layer (electronics); Surface (topology); Chemical engineering; Composite material; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009566202,0.00007639181,0.0001010024,0.00003689489,0.00003237576,0.00003185372,0.0001481731,0.00003362194,0.001817338],"category_scores_gemma":[0.000008724502,0.00006016256,0.00003876647,0.00006030971,0.00003786858,0.0001874613,0.0000274593,0.00003833033,0.0001500069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002124656,"about_ca_system_score_gemma":0.00001983843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003273371,"about_ca_topic_score_gemma":0.000004373625,"domain_scores_codex":[0.9992967,0.000005303293,0.0001649575,0.0001704047,0.0002537641,0.0001088186],"domain_scores_gemma":[0.9995819,0.00004306118,0.000112008,0.0001267106,0.0001017657,0.00003460427],"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":[0.00002841267,0.0000580224,0.005340165,0.000008619311,0.000009276692,5.817455e-7,0.0001128148,0.000009616593,0.9931112,0.000758041,0.0003367013,0.000226526],"study_design_scores_gemma":[0.0002979164,0.0000412857,0.002038872,0.0000586309,0.000008843714,0.00000560055,0.00006270581,0.00002477001,0.9953064,0.00007398647,0.001998174,0.00008277178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994473,0.00003830043,0.0003603627,0.0005033019,0.0003090109,0.00006478289,0.00005039097,0.00002804007,0.004172838],"genre_scores_gemma":[0.9987534,0.000009914985,0.0001495055,0.000129971,0.0002817858,0.00002200953,0.00005078445,0.000008475527,0.0005941437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004280437,"threshold_uncertainty_score":0.9990951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007737326530728866,"score_gpt":0.2215915268753397,"score_spread":0.2138542003446108,"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."}}