{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002727816,0.0001699213,0.0002545168,0.000007993729,0.00005877704,0.0000167386,0.00009680744,0.0001059291,0.0000703041],"category_scores_gemma":[0.000408035,0.0001532648,0.00009669136,0.0002628204,0.00009300304,0.0000679007,0.00005786309,0.000268271,0.00001028687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108055,"about_ca_system_score_gemma":0.00005943776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001923702,"about_ca_topic_score_gemma":0.00002817491,"domain_scores_codex":[0.9987891,0.00003229163,0.0002872021,0.0002285995,0.0003374543,0.0003253181],"domain_scores_gemma":[0.9989498,0.0004281291,0.00003955551,0.0003995079,0.000104396,0.00007859088],"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":[0.000007445666,0.00001829793,0.001245836,0.0001171472,0.00007217461,0.00003194236,0.0001026698,0.0107514,0.987258,0.00003081239,0.0001254527,0.0002388942],"study_design_scores_gemma":[0.0001120674,0.000002194112,0.0006131919,0.00008582004,0.00003919334,0.00002071519,0.0004159245,0.0369405,0.9613587,0.00001492141,0.0002469567,0.0001498022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795742,0.0009786967,0.002265032,0.00009916885,0.00007199461,0.00003256025,0.000009711471,0.00008185885,0.01688677],"genre_scores_gemma":[0.9983232,0.00002781133,0.0005905204,0.00002740714,0.00005558407,0.000001124007,0.000005721377,0.00002776742,0.0009408841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0261891,"threshold_uncertainty_score":0.6249956,"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."}}