{"id":"W2106491070","doi":"10.1016/j.bios.2008.11.031","title":"Biochip functionalization using electrowetting-on-dielectric digital microfluidics for surface plasmon resonance imaging detection of DNA hybridization","year":2008,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Research Council Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Electrowetting; Biochip; Digital microfluidics; Microfluidics; Surface plasmon resonance; Nanotechnology; Biomolecule; Biosensor; Surface modification; Chemistry; Plasmon; Lab-on-a-chip; Protein Array Analysis; Hybridization probe; Materials science; Dielectric; DNA microarray; Optoelectronics; DNA; Nanoparticle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000127131,0.0002580376,0.0002324623,0.0002230484,0.000274525,0.0000353947,0.0000941935,0.0001461057,6.886003e-7],"category_scores_gemma":[0.00009369953,0.0002680348,0.00007914825,0.0005686526,0.0001049914,0.0001416072,0.00001556326,0.0001808331,0.000001039059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018573,"about_ca_system_score_gemma":0.00006607999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007100565,"about_ca_topic_score_gemma":0.000001428532,"domain_scores_codex":[0.9986741,0.00001689974,0.0003334931,0.0003207315,0.0001497234,0.0005050286],"domain_scores_gemma":[0.9994674,0.00009310553,0.0001106899,0.0001645197,0.0001254368,0.00003887097],"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":[0.00006846882,0.00002694025,0.000506158,0.00004496631,0.00002336567,0.000001097043,0.0000315521,0.0002789582,0.9832133,0.0002894907,0.0003516015,0.01516409],"study_design_scores_gemma":[0.0004149711,0.0003595121,0.0001367981,0.00003341827,0.00002436042,0.0001031607,0.00002240897,0.02571556,0.968621,0.000172539,0.004116922,0.0002793152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539154,0.01834216,0.02680269,0.00004960575,0.0001166992,0.0002738241,0.00003317465,0.0004291883,0.00003724884],"genre_scores_gemma":[0.9950027,0.004315645,0.0004407483,0.00002456796,0.00006161792,0.000006319377,0.00004385478,0.00005770617,0.00004681661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04108731,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009945068716696651,"score_gpt":0.1953618618845993,"score_spread":0.1854167931679027,"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."}}