{"id":"W4210666971","doi":"10.1002/ange.201812887","title":"Helicoidal Patterning of Nanorods with Polymer Ligands","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education and Science of the Russian Federation; National Institutes of Health; Cystic Fibrosis Foundation; National Science Foundation","keywords":"Nanorod; Polymer; Materials science; Nanoparticle; Morphology (biology); Nanotechnology; Layer (electronics); Self-assembly; Micelle; Chemical engineering; Chemistry; Composite material; Aqueous solution; Organic chemistry","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":[0.00007445079,0.0001939592,0.0001224317,0.0001227196,0.0001248164,0.0002513169,0.0001389624,0.0001451503,0.000778264],"category_scores_gemma":[0.0001339471,0.0001352385,0.00009738805,0.00006372429,0.0001906564,0.0001640369,0.0001502133,0.0002024695,0.0002198423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624897,"about_ca_system_score_gemma":0.0001167513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004112282,"about_ca_topic_score_gemma":0.0008999046,"domain_scores_codex":[0.9999188,0.00001039828,0.000005734692,0.0000200502,0.00002232963,0.00002271903],"domain_scores_gemma":[0.9998726,0.00003051513,0.00003494558,0.00001980673,0.00002144488,0.00002069733],"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":[0.00002457158,0.000005330514,0.00008021919,0.00001505381,0.000001862509,0.00003236907,0.0000222424,0.0002220197,0.99843,0.0002858688,0.0000431049,0.0008374008],"study_design_scores_gemma":[0.000006044841,0.00003863885,0.0003773462,0.000001511748,0.000001632844,0.00002980646,0.0000110492,0.003081424,0.9956784,0.00007473068,0.0006958641,0.000003513247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919556,0.0001750601,0.004796731,0.00004517602,0.00001550163,0.00001465172,0.00007200879,0.000131905,0.002793262],"genre_scores_gemma":[0.9963046,0.0000733869,0.002652085,0.00001937752,0.000002423067,0.000007981529,0.00004172417,0.00001985291,0.0008786727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000778264,"threshold_uncertainty_score":0.002603531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008397475043473625,"score_gpt":0.2086921272010684,"score_spread":0.2002946521575948,"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."}}