{"id":"W4205414446","doi":"10.1007/s11468-021-01579-3","title":"Highly Sensitive Plasmonic Fiber-Optic Sensors using Group IV Transition Metal Nitrides: a Numerical Investigation","year":2022,"lang":"en","type":"article","venue":"Plasmonics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Figure of merit; Materials science; Plasmon; Zirconium nitride; Nitride; Optical fiber; Optoelectronics; Refractive index; Fiber; Titanium nitride; Optics; Nanotechnology; Composite material; Layer (electronics)","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":[0.0004408151,0.0003234476,0.0002859811,0.0002563733,0.0003391608,0.0004205081,0.000666426,0.0006615609,0.001232936],"category_scores_gemma":[0.002168347,0.0003052517,0.0002068583,0.0002384187,0.0008115445,0.0006165122,0.0003637093,0.000303774,0.000119326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027058,"about_ca_system_score_gemma":0.0004339273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003204521,"about_ca_topic_score_gemma":0.004127597,"domain_scores_codex":[0.999894,0.00002756209,0.000004096992,0.00001528395,0.00004736181,0.00001173887],"domain_scores_gemma":[0.9989775,0.0007223392,0.0001205247,0.00006352648,0.00009458848,0.00002152842],"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":[0.0001762259,0.0002357171,0.003871158,0.0002608758,0.00004427955,0.0002553837,0.0001493855,0.8606564,0.1037452,0.02302694,0.0005463969,0.007031952],"study_design_scores_gemma":[0.00001081432,0.00002987998,0.0003691213,0.000003283463,0.000004110726,0.00002553456,0.00001461457,0.9949697,0.003923453,0.0005120722,0.0001334258,0.000004109852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147518,0.0003455821,0.06892793,0.0004579745,0.00003384378,0.00008999721,0.0001281337,0.0001633218,0.01510144],"genre_scores_gemma":[0.9574821,0.0001975166,0.039711,0.00004135253,0.00001071231,0.00004278801,0.00004665949,0.0000235124,0.002444377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003204521,"threshold_uncertainty_score":0.006371737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525112060687374,"score_gpt":0.2139950481201545,"score_spread":0.1987439275132808,"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."}}