{"id":"W3208098380","doi":"10.1007/s10854-021-07220-7","title":"Highly sensitive nano-sensor based on a binary photonic crystal for the detection of mycobacterium tuberculosis bacteria","year":2021,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Arab Fund for Economic and Social Development","keywords":"Photonic crystal; Fabrication; Mycobacterium tuberculosis; Materials science; Sensitivity (control systems); Matrix (chemical analysis); Optoelectronics; Biosensor; Photonics; Mycobacterium; Layer (electronics); Binary number; Bacteria; Nano-; Transfer-matrix method (optics); Tuberculosis; Nanotechnology; Optics; Electronic engineering; Biology; Medicine; Physics; Composite material","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":[0.000306307,0.000275287,0.0005450888,0.0003803957,0.0003783741,0.0005613915,0.0007580149,0.001096067,0.001093461],"category_scores_gemma":[0.0005222176,0.00038063,0.0001897516,0.0002538384,0.0003713226,0.0004930731,0.0005283925,0.0005544453,0.0003699494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706759,"about_ca_system_score_gemma":0.0005231365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005169003,"about_ca_topic_score_gemma":0.001196543,"domain_scores_codex":[0.9994992,0.00007343239,0.00001994998,0.00009756773,0.0002459129,0.00006391269],"domain_scores_gemma":[0.9996575,0.0001151344,0.00006293106,0.0000208368,0.00009513377,0.00004846194],"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":[0.00006366907,0.00002621495,0.0001528679,0.00005933247,0.000005736264,0.00002497741,0.000008423362,0.00004248278,0.9979082,0.0001453404,0.00008207432,0.001480715],"study_design_scores_gemma":[0.00001260613,0.00008118049,0.0008139224,0.000004042131,0.00001165425,0.0001478811,0.00001046673,0.00306048,0.9950694,0.00003679081,0.0007447627,0.000006905957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597539,0.003120845,0.03000112,0.000552031,0.0003322986,0.00008161388,0.0003465518,0.0005387664,0.005272917],"genre_scores_gemma":[0.9648183,0.0005421616,0.03133236,0.000257975,0.00004721542,0.00004988902,0.0002126382,0.00002624675,0.002713074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001096067,"threshold_uncertainty_score":0.003657937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007599932807686951,"score_gpt":0.2438563953372577,"score_spread":0.2362564625295707,"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."}}