{"id":"W2013314665","doi":"10.1021/ac101495m","title":"Silver Nanoparticles on a Plastic Platform for Localized Surface Plasmon Resonance Biosensing","year":2010,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Biosensor; Surface plasmon resonance; Chemistry; Streptavidin; Nanotechnology; Adsorption; Nanoparticle; Polyethylene terephthalate; Silver nanoparticle; Fabrication; Detection limit; Chromatography; Materials science; Biotin; Organic chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00018753,0.0006066501,0.0006141793,0.00003925836,0.0001608374,0.00007840699,0.0003471702,0.002903394,0.00001157854],"category_scores_gemma":[0.0006881433,0.0005313573,0.0004918503,0.0001589124,0.0003872154,0.000004752168,0.000121657,0.001711708,0.00001088863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005818407,"about_ca_system_score_gemma":0.0001139123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006186603,"about_ca_topic_score_gemma":0.000006651706,"domain_scores_codex":[0.9972532,0.00002477221,0.0005033613,0.00111025,0.0003807348,0.0007277214],"domain_scores_gemma":[0.9982893,0.0002645374,0.0002363458,0.0008645685,0.0002040952,0.0001411863],"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":[0.0002236809,0.00004548886,0.00001812514,0.0001115217,0.0001138803,0.00005050668,0.000001523445,0.000007650548,0.626479,0.000003874382,0.3726075,0.0003372805],"study_design_scores_gemma":[0.0002975483,0.0001070896,0.000002260801,0.00008411412,0.0001409054,0.00001984486,0.000004038773,0.0008845339,0.5699258,0.00007764193,0.4280282,0.0004279729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115711,0.0007536357,0.001311866,0.08121702,0.0004661325,0.0008287531,0.0008804413,0.0003819207,0.002589108],"genre_scores_gemma":[0.7950982,0.0003760346,0.008415761,0.1707278,0.00638152,0.00003212578,0.004326187,0.0003501103,0.0142922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164729,"threshold_uncertainty_score":0.9997138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543436850153428,"score_gpt":0.2716411792949325,"score_spread":0.2562068107933982,"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."}}