{"id":"W1967076188","doi":"10.1021/la061894p","title":"Spatially Inhomogeneous Enhancement of Fluorescence by a Monolayer of Silver Nanoparticles","year":2006,"lang":"en","type":"article","venue":"Langmuir","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Institutes of Health","keywords":"Rhodamine 6G; Fluorescence; Monolayer; Materials science; Nanoparticle; Near-field scanning optical microscope; Silver nanoparticle; Analytical Chemistry (journal); SIGNAL (programming language); Quenching (fluorescence); Rhodamine; Surface plasmon resonance; Optics; Chemistry; Optical microscope; Nanotechnology; Scanning electron microscope","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001547119,0.0002238211,0.0001751323,0.0001139194,0.0001164732,0.0002108698,0.0001442476,0.0002119025,0.0003847646],"category_scores_gemma":[0.0002110721,0.0001604552,0.0001342336,0.00006758844,0.0002005648,0.0001866268,0.0002130419,0.0002585289,0.00009600322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293046,"about_ca_system_score_gemma":0.00009959089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006767417,"about_ca_topic_score_gemma":0.0007950182,"domain_scores_codex":[0.9998882,0.00001905761,0.000005375357,0.00003044877,0.00003064702,0.00002632725],"domain_scores_gemma":[0.99988,0.00004521319,0.00002159148,0.00001439667,0.00002149316,0.00001740328],"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":[0.00001698288,0.000002521414,0.00005033349,0.000004754296,0.000001162456,0.0000142875,0.000004479536,0.00003348792,0.9996866,0.00001349665,0.000003598358,0.0001682024],"study_design_scores_gemma":[0.000007219677,0.00007643573,0.00199801,0.000001412196,0.000006189491,0.00008334532,0.00001247729,0.00161972,0.9959542,0.00001879388,0.0002196255,0.000002611402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972113,0.0001824254,0.002102646,0.00002314598,0.00000568729,0.000003418731,0.00001422308,0.00002425701,0.0004329952],"genre_scores_gemma":[0.9967813,0.0001213333,0.002440771,0.0000327442,0.000005838396,0.000006651005,0.00003140803,0.000007156573,0.0005727781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006767417,"threshold_uncertainty_score":0.001663685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003655486268714076,"score_gpt":0.1888453451229904,"score_spread":0.1851898588542763,"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."}}