{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000561904,0.00022981,0.0002781414,0.00006375058,0.0002873509,0.000128689,0.0002167254,0.00007316469,0.00003840882],"category_scores_gemma":[0.00008358825,0.0002513356,0.00009317823,0.0001075425,0.00007525527,0.0005404046,0.00005243763,0.0002291724,0.0000661346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149164,"about_ca_system_score_gemma":0.00002666758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002851571,"about_ca_topic_score_gemma":0.000003532346,"domain_scores_codex":[0.998623,0.00001206427,0.0001947496,0.0002633979,0.0002330669,0.0006737834],"domain_scores_gemma":[0.9990294,0.00005466365,0.00007355623,0.0006381806,0.00005035899,0.0001538258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001058413,0.00004770084,0.00006463485,0.00004186176,0.0001073634,0.00001430676,0.0002401965,0.533824,0.4522269,0.004499716,0.0001472454,0.008775457],"study_design_scores_gemma":[0.0003580881,0.00002813019,0.003614621,0.00001612866,0.00004796613,0.000004720389,0.00004274936,0.9599134,0.03229881,0.002620147,0.0007032577,0.0003520022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316038,0.0001141468,0.04506885,0.000043885,0.0004077782,0.0002796702,0.00004216559,0.0004240628,0.02201559],"genre_scores_gemma":[0.9734641,0.00002984458,0.02605965,0.00001065437,0.0001675789,0.00001082241,0.00001696953,0.00007551585,0.0001648384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4260893,"threshold_uncertainty_score":0.9999939,"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."}}