{"id":"W4281557505","doi":"10.1149/2754-2726/ac733a","title":"Thermally-Driven Micro-Walled Nano-Composite Microfluidic Platform for Controlled Localized Surface Plasmonic Detection of Bovine Growth Hormones","year":2022,"lang":"en","type":"article","venue":"ECS Sensors Plus","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Materials science; Polydimethylsiloxane; Absorbance; Nanocomposite; Nanotechnology; Silver nitrate; Plasmon; Microfluidics; Biosensor; Silver nanoparticle; Surface plasmon resonance; Optoelectronics; Chemical engineering; Nanoparticle; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001720073,0.0003379734,0.0002489518,0.000190004,0.0001691033,0.0002607825,0.0004753644,0.0002915037,0.0004417818],"category_scores_gemma":[0.0001488154,0.0002486742,0.000229679,0.00008943876,0.0002081689,0.0002168122,0.0002495695,0.0003561786,0.0002289922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122834,"about_ca_system_score_gemma":0.0003746086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003722738,"about_ca_topic_score_gemma":0.0008582425,"domain_scores_codex":[0.9998637,0.00001477826,0.000008206847,0.00004105358,0.00005025813,0.00002183366],"domain_scores_gemma":[0.9999202,0.00002068263,0.00002429287,0.000008051054,0.00001118339,0.0000155213],"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":[0.00001702632,0.00001187581,0.00002422711,0.00002137833,0.000001339071,0.00001922987,0.000008667523,0.00009255123,0.9987497,0.00007521391,0.00002727673,0.0009514955],"study_design_scores_gemma":[0.000006751564,0.00006460424,0.0003519887,0.000001563951,0.000003945588,0.00005677002,0.000004761049,0.002898755,0.9956328,0.00002321597,0.0009459745,0.000008810672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111931,0.002057829,0.08314269,0.0002667729,0.0003285725,0.0001339036,0.0003304765,0.0006899607,0.001856635],"genre_scores_gemma":[0.922439,0.0008412292,0.07299184,0.00008100812,0.0000516845,0.0001255863,0.0001736011,0.00003416486,0.003261862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004753644,"threshold_uncertainty_score":0.002265811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150926674021646,"score_gpt":0.2302641732483729,"score_spread":0.2187549065081565,"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."}}