{"id":"W2075349418","doi":"10.1021/la048328j","title":"Gold Nanoparticle Embedded, Self-Sustained Chitosan Films as Substrates for Surface-Enhanced Raman Scattering","year":2004,"lang":"en","type":"article","venue":"Langmuir","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":211,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Raman scattering; Chitosan; Materials science; Colloidal gold; Nanoparticle; Raman spectroscopy; Nanotechnology; Biosensor; Transmission electron microscopy; Nanocomposite; Surface plasmon resonance; Biopolymer; Absorption (acoustics); Chemical engineering; Nanostructure; Optics; Polymer; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001397978,0.0001593979,0.0001953568,0.00002243877,0.0002394703,0.0001554111,0.0002432975,0.00005771521,0.0001432324],"category_scores_gemma":[0.00001834174,0.0001375044,0.00008121147,0.0001550816,0.0000545029,0.0001655252,0.00004251972,0.00004515197,0.0002834716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002264194,"about_ca_system_score_gemma":0.00004394364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006143367,"about_ca_topic_score_gemma":0.00001764402,"domain_scores_codex":[0.9987918,0.00002065393,0.0002550605,0.0003337361,0.0001448152,0.0004539702],"domain_scores_gemma":[0.9994441,0.00005388384,0.00008064556,0.0002708118,0.00003891587,0.000111688],"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":[0.00002443943,0.0001359463,0.00009624023,0.00002926494,0.00000728916,0.000001897344,0.0007974519,0.0003917308,0.9928899,0.005278123,0.0002128565,0.0001348748],"study_design_scores_gemma":[0.0007369787,0.0000666183,0.0006984714,0.00001933331,0.00002134996,0.000004023582,0.0007871399,0.0001158467,0.9956676,0.001259006,0.0004219617,0.0002017103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968049,0.00005508299,0.0001060661,0.001089651,0.00009653532,0.0003844032,0.00002852883,0.0002938387,0.001140989],"genre_scores_gemma":[0.9950543,0.000003929685,0.004306955,0.0001955954,0.00008996964,0.0001167202,0.00001093091,0.00002511173,0.0001964536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004200889,"threshold_uncertainty_score":0.5607266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129960498730101,"score_gpt":0.2474334989326191,"score_spread":0.2361338939453181,"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."}}