{"id":"W2589800717","doi":"10.1002/pssa.201600756","title":"Optical modulation using strain tunable metallo‐dielectric films","year":2017,"lang":"en","type":"article","venue":"physica status solidi (a)","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Plasmon; Thin film; Dielectric; Optoelectronics; Transmittance; Elastomer; Refractive index; Photonics; Modulation (music); Surface plasmon; Metal; Optics; Nanotechnology; Composite material; Metallurgy","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":[0.00008806889,0.0003177932,0.00009964875,0.0001550224,0.0001391899,0.0002903881,0.0003202564,0.0002132093,0.001161362],"category_scores_gemma":[0.0002320643,0.0001922125,0.00008870253,0.0001517979,0.0002044681,0.0002421303,0.0001689721,0.0003214896,0.0001974371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854159,"about_ca_system_score_gemma":0.00008683254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003627042,"about_ca_topic_score_gemma":0.0005198724,"domain_scores_codex":[0.9999224,0.000007715383,0.000005689238,0.00002148294,0.00002613333,0.00001653022],"domain_scores_gemma":[0.9998711,0.00004148065,0.00004470591,0.0000136278,0.0000173641,0.00001159952],"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":[0.00002317642,0.00001207656,0.00006142572,0.00002397461,0.00000206465,0.00003354021,0.00001850649,0.00009049279,0.998252,0.0001047836,0.00006098752,0.001316969],"study_design_scores_gemma":[0.00001302408,0.00004526548,0.0004985691,0.000003193442,0.000004027429,0.00003913815,0.00001562922,0.0015353,0.996877,0.00003072792,0.0009345827,0.000003610033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916973,0.0006631695,0.002050461,0.0001883435,0.00007218969,0.00001388515,0.00007262223,0.0001055475,0.005136461],"genre_scores_gemma":[0.9961815,0.0004404253,0.001803956,0.00006758026,0.00001628864,0.00001062865,0.00004261328,0.00001848315,0.00141846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001161362,"threshold_uncertainty_score":0.00388515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271911203987864,"score_gpt":0.2775273946919927,"score_spread":0.2503362742932063,"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."}}