{"id":"W3016172318","doi":"10.1007/s11468-020-01155-1","title":"Self-Referencing Plasmonic Array Sensors","year":2020,"lang":"en","type":"article","venue":"Plasmonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plasmon; Materials science; Nanotechnology; Optoelectronics; Computer science","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":[0.0005963717,0.0005195197,0.0005411818,0.0006015607,0.0004353209,0.001252714,0.001760256,0.001291234,0.003574235],"category_scores_gemma":[0.001153335,0.0005265855,0.0002539566,0.0005518271,0.0006318219,0.001564057,0.001280721,0.0008472004,0.002028647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006212362,"about_ca_system_score_gemma":0.0003052799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001934111,"about_ca_topic_score_gemma":0.0005884629,"domain_scores_codex":[0.9989156,0.0001736844,0.00003967859,0.0003043272,0.0004827513,0.00008398973],"domain_scores_gemma":[0.9992648,0.0001683522,0.0001262516,0.0001579331,0.0002353591,0.00004732126],"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":[0.0001497096,0.00009460436,0.0004609503,0.00009232335,0.00001626241,0.00009648941,0.0001314171,0.0008284984,0.9585602,0.005763619,0.002074001,0.03173193],"study_design_scores_gemma":[0.00001327066,0.0001133414,0.0005148973,0.000009203683,0.00001358755,0.0001953972,0.00006369824,0.01469558,0.975803,0.0007542779,0.007798063,0.00002577759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.533521,0.004060501,0.4034032,0.001369217,0.001676758,0.0002401681,0.0005225437,0.003726442,0.05148022],"genre_scores_gemma":[0.7522911,0.0009883861,0.202468,0.001352894,0.0003664009,0.0001492687,0.0004418509,0.0003010834,0.04164099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003574235,"threshold_uncertainty_score":0.01195699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388402997132542,"score_gpt":0.2216566204829077,"score_spread":0.1977725905115823,"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."}}