{"id":"W2044797432","doi":"10.1364/boe.5.002481","title":"Self-referenced spectroscopy using plasmon waveguide resonance biosensor","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"","keywords":"Surface plasmon resonance; Materials science; Refractive index; Biosensor; Spectroscopy; Optics; Surface plasmon; Polarization (electrochemistry); Optoelectronics; Multi-mode optical fiber; Resonance (particle physics); Waveguide; Plasmon; Optical fiber; Nanotechnology; Chemistry; Physics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003737514,0.0002875322,0.0003639229,0.0001593748,0.000115655,0.00008018756,0.0004599337,0.0002940146,0.00005897282],"category_scores_gemma":[0.0001728852,0.0002632594,0.00007886084,0.0003237095,0.0001828811,0.0001067244,0.0001179358,0.0004471395,0.0001606846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378627,"about_ca_system_score_gemma":0.0000612679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265147,"about_ca_topic_score_gemma":0.000002291117,"domain_scores_codex":[0.9976176,0.00006644177,0.0004088776,0.0003638443,0.0007289893,0.0008142614],"domain_scores_gemma":[0.9987163,0.0002910755,0.00003849695,0.0004397979,0.00006298511,0.0004513439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009793096,0.0003211919,0.0003471728,0.000479752,0.0001812456,0.0001085562,0.0004077363,0.008125338,0.9733017,0.005992999,0.008211876,0.002424514],"study_design_scores_gemma":[0.0005595392,0.00007363732,0.00008427017,0.00006887054,0.0000147447,0.00001007502,0.0000257665,0.805236,0.104271,0.0001223591,0.08922178,0.0003118886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550425,0.000331743,0.02894126,0.0001297212,0.0008081517,0.0002390462,0.00005456827,0.0007526867,0.01370029],"genre_scores_gemma":[0.7060496,0.0003975165,0.2930972,0.00004661016,0.0001032963,0.00001490622,0.00002443362,0.00007231056,0.0001940794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8690307,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967200833441767,"score_gpt":0.2594281404526877,"score_spread":0.2397561321182701,"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."}}