{"id":"W2319780958","doi":"10.1038/nmat4609","title":"Extreme sensitivity biosensing platform based on hyperbolic metamaterials","year":2016,"lang":"en","type":"article","venue":"Nature Materials","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":766,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University; Doris Duke Charitable Foundation","keywords":"Metamaterial; Biosensor; Plasmon; Figure of merit; Materials science; Biomolecule; Refractive index; Context (archaeology); Nanotechnology; Grating; Optoelectronics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002264296,0.000459678,0.0003337837,0.000268371,0.0002217075,0.0006192977,0.0009892489,0.0007226797,0.001427635],"category_scores_gemma":[0.000263085,0.0003480432,0.0002423497,0.0001306498,0.0003160519,0.0006469508,0.0009408797,0.0005969071,0.0009485702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292405,"about_ca_system_score_gemma":0.0001961224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000889553,"about_ca_topic_score_gemma":0.0001355556,"domain_scores_codex":[0.9996929,0.00003196709,0.000009920771,0.00008642977,0.0001303314,0.00004850222],"domain_scores_gemma":[0.9998116,0.00004559711,0.00004571092,0.00002985849,0.00003753958,0.00002963441],"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":[0.00005073456,0.00002251105,0.00007512139,0.00002283486,0.000005061439,0.0000926971,0.00001784855,0.0002209554,0.9945347,0.001161641,0.000145808,0.003650076],"study_design_scores_gemma":[0.00001504112,0.0001683919,0.0003411302,0.00000360144,0.00001101832,0.000201281,0.00001559101,0.008241771,0.9881999,0.0004166838,0.002367833,0.00001764763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8510482,0.0008585446,0.1312718,0.0006368238,0.000303291,0.0001562059,0.0002368811,0.001860486,0.01362777],"genre_scores_gemma":[0.9392565,0.0002403102,0.05225605,0.0002498381,0.00004444746,0.00006838601,0.0001298932,0.00004759456,0.007706938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001427635,"threshold_uncertainty_score":0.004775882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256204646150021,"score_gpt":0.2407497609029898,"score_spread":0.2181877144414896,"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."}}