{"id":"W2982032651","doi":"10.1149/2.f09193if","title":"Plasmonic Biosensors on a Chip for Point-of-Care Applications","year":2019,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Miniaturization; Software portability; Nanotechnology; Plasmon; Microfabrication; Biosensor; Lab-on-a-chip; Computer science; Microfluidics; Materials science; Optoelectronics; Medicine; Fabrication","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":[0.0005781413,0.001019999,0.0006326634,0.0009642228,0.0003708859,0.0009043421,0.001237507,0.001688209,0.008222834],"category_scores_gemma":[0.0007547444,0.0004476112,0.0004684263,0.0005669762,0.0004460062,0.001030136,0.0007141505,0.00172116,0.005712856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005862156,"about_ca_system_score_gemma":0.000483737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000383482,"about_ca_topic_score_gemma":0.0006437473,"domain_scores_codex":[0.9991742,0.0001209251,0.00004311511,0.000148791,0.0004651266,0.00004785465],"domain_scores_gemma":[0.9997132,0.00009705264,0.00001969235,0.00003395661,0.0001116724,0.00002444161],"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":[0.0001080095,0.0001498188,0.0002540341,0.001559342,0.00006165033,0.0002761151,0.0001340714,0.002141101,0.7239428,0.02619401,0.03506945,0.2101095],"study_design_scores_gemma":[0.0000303628,0.0004231191,0.0006649853,0.0002306078,0.00006675648,0.001085946,0.00006471944,0.0167348,0.445542,0.007105506,0.5279499,0.0001012977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01511047,0.08279546,0.8427845,0.003819706,0.006540604,0.000698914,0.0008710219,0.004880537,0.04249874],"genre_scores_gemma":[0.1004333,0.04933902,0.7958368,0.003760442,0.001565419,0.000883988,0.001106272,0.0003039129,0.04677077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008222834,"threshold_uncertainty_score":0.02750814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004650370501570713,"score_gpt":0.2179556327642138,"score_spread":0.2133052622626431,"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."}}