{"id":"W2109897848","doi":"10.1038/nmat2546","title":"Plasmonic nanorod metamaterials for biosensing","year":2009,"lang":"en","type":"article","venue":"Nature Materials","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":1728,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Office of Naval Research; Engineering and Physical Sciences Research Council; Royal Society","keywords":"Plasmon; Metamaterial; Nanorod; Biosensor; Materials science; Surface plasmon; Nanotechnology; Optoelectronics; Surface plasmon resonance; Refractive index; Surface plasmon polariton; Nanoparticle","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":[0.00023334,0.0002902696,0.0003060939,0.0003069464,0.0002197268,0.0006335501,0.0003952067,0.0006832288,0.003040986],"category_scores_gemma":[0.0002836028,0.0002713561,0.0001537362,0.0001984622,0.0003162041,0.0007472678,0.0003079441,0.0005614354,0.001137174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091814,"about_ca_system_score_gemma":0.000134851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008618776,"about_ca_topic_score_gemma":0.0002447018,"domain_scores_codex":[0.9998701,0.00002692879,0.000007763248,0.00003056039,0.00004718351,0.00001749648],"domain_scores_gemma":[0.9999007,0.00003304203,0.00001164582,0.00002096169,0.00002212385,0.00001149052],"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":[0.0001203921,0.00005784406,0.000128623,0.0003095134,0.00001151724,0.0001112033,0.00005472456,0.0007640281,0.9192073,0.02606817,0.002730745,0.05043585],"study_design_scores_gemma":[0.0000349978,0.0001432185,0.0003609644,0.0000338887,0.00002143748,0.0003446566,0.00004770425,0.01532837,0.9218972,0.01121886,0.05054123,0.00002748896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4821808,0.09061624,0.294032,0.007009629,0.002907022,0.00019409,0.0005061416,0.003099434,0.1194545],"genre_scores_gemma":[0.8344774,0.009045281,0.1264983,0.0008476931,0.0003514376,0.00007281008,0.0002346307,0.0001800773,0.02829229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003040986,"threshold_uncertainty_score":0.01017314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009534879290251652,"score_gpt":0.2578028594272045,"score_spread":0.2482679801369529,"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."}}