{"id":"W3048925125","doi":"","title":"Dielectrophoretic cell trapping for enhanced Surface Plasmon Resonance sensing","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Trapping; Surface plasmon resonance; Materials science; Surface plasmon; Resonance (particle physics); Plasmon; Optoelectronics; Localized surface plasmon; Optics; Nanotechnology; Nanoparticle; Physics; Atomic physics","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":[0.0002898802,0.0003434707,0.0004632657,0.0003097063,0.0003921059,0.0006200783,0.0006360066,0.0006498233,0.01181353],"category_scores_gemma":[0.0002077428,0.0001667105,0.0001716913,0.0002505107,0.0002185202,0.000589991,0.0004574452,0.0004839124,0.004129055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341011,"about_ca_system_score_gemma":0.0002256985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003737313,"about_ca_topic_score_gemma":0.0006648784,"domain_scores_codex":[0.9998299,0.0000153354,0.000007585639,0.00004212241,0.00007313718,0.00003184446],"domain_scores_gemma":[0.9998624,0.00004928124,0.00000476342,0.00001563876,0.00004786236,0.00001995396],"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":[0.000086273,0.00004634229,0.00009225128,0.00007534352,0.000005513209,0.00008967287,0.00003810268,0.0001526736,0.9809093,0.001958829,0.003711853,0.01283386],"study_design_scores_gemma":[0.00002476112,0.0001180286,0.0005988198,0.000003953392,0.00001018062,0.0002265977,0.00002081463,0.008047998,0.9556907,0.0004859992,0.03475916,0.00001291964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7101821,0.007958012,0.1887089,0.0041455,0.005985352,0.0006188102,0.002988202,0.002732822,0.07668031],"genre_scores_gemma":[0.7210817,0.003351643,0.07092573,0.0006298674,0.0006103924,0.0002473151,0.002671123,0.0004261453,0.2000561],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01181353,"threshold_uncertainty_score":0.03952014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009950034346980349,"score_gpt":0.1979834261774294,"score_spread":0.1880333918304491,"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."}}