{"id":"W2769145425","doi":"10.1021/acssensors.7b00566","title":"Tuning the Sensing Performance of Multilayer Plasmonic Core–Satellite Assemblies for Rapid Detection of Targets from Lysed Cells","year":2017,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Plasmon; Nanotechnology; Plasmonic nanoparticles; Materials science; Nanoparticle; Substrate (aquarium); Nanostructure; Biosensor; Optoelectronics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001998322,0.0001423259,0.0002137483,0.00003746548,0.0002449981,0.00001953704,0.0001791375,0.0001382493,3.460436e-7],"category_scores_gemma":[0.0001296173,0.0001038446,0.0001329116,0.00003756989,0.0001715188,0.000008187858,0.00007110645,0.00007145419,4.653197e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009744769,"about_ca_system_score_gemma":0.00001457907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006442984,"about_ca_topic_score_gemma":0.00005003212,"domain_scores_codex":[0.9991975,0.00003259876,0.0002540252,0.0002408611,0.0001060344,0.0001689515],"domain_scores_gemma":[0.9987053,0.00006168137,0.0004408739,0.0005780722,0.0001904371,0.0000236671],"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":[0.000159239,0.00001251071,0.0003987316,0.00001590296,0.00007979753,3.62485e-7,0.00005871504,0.00006740946,0.9774303,5.014945e-7,0.00001420738,0.02176236],"study_design_scores_gemma":[0.0002412402,0.0001768306,0.001509536,0.00003441618,0.00006634505,0.000001905523,0.00009616943,0.005919497,0.9903503,0.00001800766,0.001458379,0.000127357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982457,0.0002283847,0.001137818,0.00004000917,0.0000970941,0.0001577481,0.000025806,0.00001380895,0.00005366393],"genre_scores_gemma":[0.9925467,0.0007267848,0.006456447,0.00002447392,0.00008434526,0.000001660748,0.00002841006,0.00001803382,0.0001131628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02163501,"threshold_uncertainty_score":0.4234661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224341448535924,"score_gpt":0.2770562448883764,"score_spread":0.2548128304030172,"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."}}