{"id":"W3216704876","doi":"10.1021/acs.analchem.1c04546","title":"Enhancing the Sensitivity of Surface Plasmon Resonance Measurements Utilizing Polymer Film/Au Assemblies","year":2021,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Alberta; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Surface plasmon resonance; Chemistry; Prism; Refractive index; Layer (electronics); Contact angle; Polymer; Analyte; Surface plasmon; Analytical Chemistry (journal); Plasmon; Nanotechnology; Optics; Optoelectronics; Nanoparticle; Materials science; Chromatography; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005230174,0.0005569476,0.0003880613,0.000314248,0.0001598766,0.0004176546,0.0005239377,0.0004771734,0.0005701852],"category_scores_gemma":[0.001227137,0.0004649581,0.0003044995,0.0002225844,0.0003486909,0.0004471639,0.0003841412,0.0006455247,0.0002885575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285897,"about_ca_system_score_gemma":0.0001736137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142353,"about_ca_topic_score_gemma":0.001088286,"domain_scores_codex":[0.999441,0.00009409655,0.0000268302,0.0001574337,0.0002228108,0.00005790545],"domain_scores_gemma":[0.9995664,0.0002436294,0.00005600538,0.00003905524,0.00007288557,0.00002202946],"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":[0.00002153462,0.000009979964,0.0001002412,0.00002264229,0.000004943349,0.00001287084,0.00001970685,0.0006111191,0.9981457,0.00002632241,0.000009699472,0.001015188],"study_design_scores_gemma":[0.000002249229,0.00005092893,0.000413695,0.000001753435,0.000005581669,0.00001997886,0.000007704078,0.008099628,0.9911956,0.00001771537,0.0001804265,0.000004801198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9450114,0.0006951579,0.05235326,0.00007233584,0.000056258,0.00005994118,0.00009038333,0.0005096546,0.001151674],"genre_scores_gemma":[0.9508071,0.00048399,0.04757207,0.00004995028,0.00001758341,0.00004703636,0.00008629581,0.00003383023,0.0009022544],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001142353,"threshold_uncertainty_score":0.003109634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597521720727341,"score_gpt":0.2518315862983693,"score_spread":0.2258563690910959,"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."}}