{"id":"W2788881283","doi":"10.1364/ol.43.001095","title":"Power-flow-based design strategy for Bloch surface wave biosensors","year":2018,"lang":"en","type":"article","venue":"Optics Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Wetenschappelijk Onderzoek; H2020 European Research Council; Belgian Federal Science Policy Office","keywords":"Optics; Power (physics); Surface wave; Flow (mathematics); Power flow; Surface (topology); Materials science; Physics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003907938,0.0007009298,0.0003914747,0.0003659778,0.0002395352,0.000606948,0.0007505739,0.0004965045,0.0007056264],"category_scores_gemma":[0.0006854211,0.0003926516,0.0002276768,0.0001918543,0.0005389022,0.0006371062,0.0003411065,0.0005151562,0.0005355612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007501066,"about_ca_system_score_gemma":0.0004326234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003345729,"about_ca_topic_score_gemma":0.0004644857,"domain_scores_codex":[0.9997917,0.00004357223,0.000009189484,0.00002686651,0.0001117155,0.00001708761],"domain_scores_gemma":[0.9998351,0.00004636434,0.00003649769,0.000020146,0.00005335189,0.000008491458],"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":[0.00009545257,0.00009865213,0.0002179686,0.0001672446,0.00002322355,0.00006986924,0.0001039968,0.06631952,0.8240944,0.05886683,0.000703437,0.04923949],"study_design_scores_gemma":[0.0000375392,0.0002700674,0.0001347327,0.00001057615,0.00001624181,0.0001100135,0.00002177203,0.7329466,0.2487561,0.01251992,0.00514693,0.00002939873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02430239,0.000175672,0.9720978,0.0002054789,0.00002431136,0.00007645582,0.00002420204,0.0003174919,0.002776144],"genre_scores_gemma":[0.3961606,0.0002986906,0.6006668,0.0001240496,0.00002432474,0.0002125067,0.00003465915,0.00006382781,0.002414631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007505739,"threshold_uncertainty_score":0.005442441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439303874548959,"score_gpt":0.2203182032431048,"score_spread":0.1959251644976152,"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."}}