{"id":"W2330197370","doi":"10.1021/ja4086269","title":"Morphology-Based Plasmonic Nanoparticle Sensors: Controlling Etching Kinetics with Target-Responsive Permeability Gate","year":2013,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Plasmon; Nanoparticle; Chemistry; Analyte; Nanotechnology; Polyelectrolyte; Plasmonic nanoparticles; Surface plasmon resonance; Etching (microfabrication); Optoelectronics; Polymer; Materials science; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0002442812,0.0001664769,0.0003247665,0.00001228445,0.00008276484,0.00002686256,0.0002573876,0.00007748077,0.00000324304],"category_scores_gemma":[0.0002271925,0.00009548562,0.0004294647,0.0001829033,0.0006725779,0.000006968346,0.00007214935,0.0002929667,8.456793e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006108605,"about_ca_system_score_gemma":0.00007422196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001600496,"about_ca_topic_score_gemma":7.885703e-7,"domain_scores_codex":[0.9988545,0.0001225697,0.000329277,0.0002060234,0.0002214109,0.0002661735],"domain_scores_gemma":[0.9985827,0.0000791558,0.0006123198,0.0002977076,0.0003297601,0.00009833106],"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":[0.0002220129,0.00008454865,0.002116786,0.000004165519,0.0001187696,0.000001627315,0.00003048166,0.001212573,0.9954539,4.678288e-7,0.0005122545,0.0002424392],"study_design_scores_gemma":[0.0004922243,0.0003842587,0.0008866523,0.00002139405,0.00007314542,0.00005562146,0.0002327189,0.00213694,0.9952652,0.0000727978,0.0002355611,0.0001434431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957488,0.00005780425,0.001939504,0.002101146,0.00002309823,0.0001048751,0.000004737639,0.00001213323,0.000007889435],"genre_scores_gemma":[0.9613206,0.00002143973,0.03708924,0.001415978,0.0001132268,0.00000304485,0.000002219624,0.00001656986,0.00001770655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03514973,"threshold_uncertainty_score":0.3893791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005614070497198362,"score_gpt":0.2423905991962102,"score_spread":0.2367765286990118,"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."}}