{"id":"W2323704819","doi":"10.1021/ac2012976","title":"Advances in Surface Plasmon Resonance Sensing with Nanoparticles and Thin Films: Nanomaterials, Surface Chemistry, and Hybrid Plasmonic Techniques","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Research Council Canada","keywords":"Surface plasmon resonance; Nanomaterials; Chemistry; Nanotechnology; Nanoparticle; Plasmon; Surface plasmon; Prism; Mass spectrometry; Adsorption; Optoelectronics; Materials science; Optics; Physical chemistry; Chromatography; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002895509,0.000330741,0.0004216947,0.00001513067,0.00007258043,0.00007171271,0.0001631123,0.0001651746,0.0000967331],"category_scores_gemma":[0.00005967116,0.0003004119,0.00002948038,0.0001767023,0.0003304012,0.0003037387,0.0001019389,0.0003500824,0.000005563198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006155751,"about_ca_system_score_gemma":0.00004665683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004414363,"about_ca_topic_score_gemma":0.00001363291,"domain_scores_codex":[0.9982911,0.00002368804,0.0003469631,0.0004797219,0.000268168,0.0005903679],"domain_scores_gemma":[0.9992409,0.0001731319,0.00004257023,0.0002759472,0.00004293577,0.000224519],"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":[0.0005323894,0.0001227552,0.01936824,0.001528839,0.00009875916,0.0007205608,0.0004273597,0.004266744,0.9697776,0.00005419814,0.0002779673,0.00282462],"study_design_scores_gemma":[0.0003379474,0.00002507507,0.0003654386,0.0001853698,0.00001838102,0.0001262504,0.0001814872,0.1547586,0.8429703,0.00006738566,0.0006189523,0.0003448203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886979,0.003186847,0.00003587349,0.00002979343,0.00001480607,0.0001176115,0.00002831964,0.0002294804,0.007659389],"genre_scores_gemma":[0.9871614,0.003975002,0.008574074,0.000008028303,0.000005403544,0.000003691817,0.000008503103,0.00004372723,0.0002201734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1504918,"threshold_uncertainty_score":0.9999448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145030326451027,"score_gpt":0.2213724171826144,"score_spread":0.2099221139181042,"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."}}