{"id":"W2769665855","doi":"10.1109/pn.2017.8090584","title":"Determination of biomolecular interaction kinetics using surface plasmon waveguides","year":2017,"lang":"en","type":"article","venue":"","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Kinetics; Biosensor; Surface plasmon; Materials science; Surface plasmon resonance; Receptor–ligand kinetics; Plasmon; Surface (topology); Rate equation; Optoelectronics; Nanotechnology; Nanoparticle; Physics","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":[0.001027538,0.0008060391,0.0004508235,0.0005976474,0.0002322834,0.0007885825,0.0006428595,0.0006366131,0.0008241683],"category_scores_gemma":[0.001925884,0.0004697637,0.0003179098,0.0005453216,0.0003133502,0.0008852273,0.0002917286,0.001333301,0.000720692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006323219,"about_ca_system_score_gemma":0.0004648412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931934,"about_ca_topic_score_gemma":0.001582269,"domain_scores_codex":[0.9992359,0.0001431138,0.00003719442,0.0001878367,0.000301358,0.00009462026],"domain_scores_gemma":[0.998549,0.0008527892,0.0001431768,0.00009692233,0.0002923534,0.00006565477],"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":[0.00003098798,0.00001575811,0.0001901678,0.00001920652,0.000005487537,0.000007815996,0.00001567384,0.0002102528,0.99829,0.00009147928,0.00002428395,0.00109893],"study_design_scores_gemma":[0.000002553426,0.00004293393,0.0005563225,0.000001773378,0.000005228737,0.00001511483,0.000009520382,0.007740601,0.9911183,0.00005512973,0.0004461063,0.000006388197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7929844,0.001785492,0.2006638,0.0001802291,0.00005692228,0.0001857037,0.000679121,0.0007718079,0.002692571],"genre_scores_gemma":[0.8982069,0.002667989,0.08925346,0.00009224811,0.00002125301,0.0002636781,0.0008624664,0.0001371986,0.008494794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001931934,"threshold_uncertainty_score":0.005434215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042549968636896,"score_gpt":0.310829877560107,"score_spread":0.2704043778737381,"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."}}