{"id":"W2012782082","doi":"10.3390/s150407844","title":"Dielectric Sensors Based on Electromagnetic Energy Tunneling","year":2015,"lang":"en","type":"article","venue":"Sensors","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantum tunnelling; Waveguide; Maxima and minima; Electromagnetic field; Electromagnetic radiation; Electrical impedance; Resonance (particle physics); Excited state; Dielectric; Energy (signal processing); Physics; Materials science; Optoelectronics; Optics; Atomic physics; Quantum mechanics","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":[0.0001332925,0.000317365,0.0002736544,0.0001749948,0.0001273801,0.0002754403,0.0003738507,0.0003257118,0.0004407949],"category_scores_gemma":[0.0003059309,0.000214286,0.0001597944,0.0001634027,0.0004197677,0.0005098699,0.0004212272,0.0003434002,0.0002205502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934111,"about_ca_system_score_gemma":0.0001089515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255964,"about_ca_topic_score_gemma":0.0001736632,"domain_scores_codex":[0.9998959,0.00001409871,0.000003979038,0.00002206094,0.00004935301,0.00001461316],"domain_scores_gemma":[0.9998804,0.00004683967,0.00003169016,0.0000170722,0.00001611237,0.000007884304],"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":[0.000130732,0.00003753462,0.0004259329,0.0001349968,0.00001485334,0.0002056403,0.0000427592,0.004709951,0.9814151,0.005507579,0.0001218582,0.007253082],"study_design_scores_gemma":[0.00001349325,0.0001685482,0.0007764664,0.000008751043,0.00001371271,0.0002286696,0.00002049491,0.05191592,0.9438798,0.001400186,0.001556541,0.00001743559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913327,0.0009197202,0.07901856,0.0001455153,0.00007637581,0.0000522361,0.00012511,0.0004021999,0.005933209],"genre_scores_gemma":[0.9666613,0.0007304006,0.0311035,0.00004510989,0.000006981797,0.00003205,0.00006110747,0.0000267765,0.001332817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004407949,"threshold_uncertainty_score":0.001474619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201090408714466,"score_gpt":0.2314502875206419,"score_spread":0.2194393834334972,"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."}}