{"id":"W2079923028","doi":"10.1021/ac201641n","title":"In Situ Biosensing with a Surface Plasmon Resonance Fiber Grating Aptasensor","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Chemistry; Surface plasmon resonance; Biosensor; In situ; Grating; Nanotechnology; Aptamer; Optoelectronics; Nanoparticle","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":[0.0001281468,0.0002159654,0.0002228731,0.00002094479,0.00005154516,0.00001599877,0.0001204182,0.0002013788,0.00001714178],"category_scores_gemma":[0.00008538969,0.0001776529,0.00008535586,0.0002344297,0.0001824309,0.000006862153,0.00006640166,0.0001843925,0.000004990525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002386894,"about_ca_system_score_gemma":0.00003692945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003091749,"about_ca_topic_score_gemma":0.0000448607,"domain_scores_codex":[0.9987495,0.00002417664,0.0002480226,0.0005012684,0.000147364,0.0003296689],"domain_scores_gemma":[0.9993516,0.00001612592,0.00008068222,0.0003755626,0.00007899889,0.00009707441],"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":[0.0001742504,0.00008943193,0.001798049,0.00001975881,0.00003644167,0.00009998708,0.00002053094,0.000008710753,0.9967274,0.00001100947,0.0005424718,0.0004719572],"study_design_scores_gemma":[0.0002550821,0.00007033328,0.0003595946,0.00005109799,0.00003289929,0.00005487674,0.00006811268,0.0002894809,0.996026,0.00004216483,0.002469003,0.0002813406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868212,0.0001057007,0.0001458149,0.00008719712,0.000006780162,0.00005698821,0.000009876767,0.000034368,0.0127321],"genre_scores_gemma":[0.9871415,0.000031606,0.01001429,0.00015983,0.00006886525,0.000001476375,0.00003808138,0.00002326868,0.002521017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021108,"threshold_uncertainty_score":0.7244476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476347977589854,"score_gpt":0.2530184620012485,"score_spread":0.23825498222535,"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."}}