{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004673373,0.0001185198,0.0001435849,0.000009262112,0.00004015666,0.00001087482,0.0001630812,0.0001089681,0.00002574076],"category_scores_gemma":[0.000009896115,0.00008622123,0.0002369751,0.000140257,0.0000432083,0.00001881937,0.00001489545,0.0002448366,0.00006744936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000801792,"about_ca_system_score_gemma":0.000004990604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.803507e-7,"about_ca_topic_score_gemma":3.018617e-7,"domain_scores_codex":[0.9993958,0.000005921476,0.0001429256,0.0001438948,0.00008722449,0.0002241598],"domain_scores_gemma":[0.9995542,0.0001444277,0.00002518278,0.0002053744,0.00003660119,0.00003423182],"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":[0.00003341325,0.00001658986,0.000005492071,0.0001195811,0.00006894796,6.123835e-9,0.0002308109,0.0004321137,0.9968755,0.0005551252,0.0008332633,0.0008292157],"study_design_scores_gemma":[0.0001910206,0.0001424405,0.00001119369,0.00002367142,0.00002231698,0.000001026718,0.0002547127,0.02641702,0.9685619,0.0004821857,0.003784234,0.0001082915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437453,0.000621567,0.05250725,0.0004944148,0.00008878797,0.00076523,0.00001768228,0.0002305827,0.001529161],"genre_scores_gemma":[0.9989842,0.00004970609,0.0005769258,0.00007699579,0.00006030253,0.00004847174,0.000006144176,0.00002338424,0.000173904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05523884,"threshold_uncertainty_score":0.3515999,"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."}}