{"id":"W4287067675","doi":"","title":"A study of optimal electrode design for electric field driven target capture in SPR biosensors","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Electrode; Biosensor; Electric field; Computer science; Nanotechnology; Materials science; Optoelectronics; 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":[0.0008328084,0.0004166378,0.000733848,0.0002533227,0.0002665778,0.001017195,0.0007192125,0.0009791614,0.0009594635],"category_scores_gemma":[0.001913044,0.0003795938,0.0003635674,0.000268392,0.0002749914,0.0007617482,0.0002626339,0.000355887,0.0003635225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431247,"about_ca_system_score_gemma":0.0003694341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000549618,"about_ca_topic_score_gemma":0.0007902307,"domain_scores_codex":[0.9994567,0.0001183678,0.00002993287,0.0001658149,0.0001745149,0.00005468209],"domain_scores_gemma":[0.9992945,0.0003795884,0.00006529825,0.00004149272,0.0002032434,0.00001585471],"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":[0.0002884988,0.000131703,0.0004535941,0.0005088683,0.00003587775,0.000157157,0.00006622652,0.02306258,0.9483646,0.002061396,0.0002703971,0.02459914],"study_design_scores_gemma":[0.00003531788,0.001154439,0.001138596,0.00002442174,0.00007732954,0.0002880557,0.0001097604,0.2282271,0.7648726,0.0009883763,0.00305121,0.00003280365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905093,0.005684756,0.3948949,0.0005521108,0.000164041,0.0001980656,0.0001765122,0.0002822801,0.007538044],"genre_scores_gemma":[0.9076141,0.001918097,0.08825568,0.00008722405,0.00002966172,0.00005950631,0.00008336982,0.00006290444,0.001889396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001017195,"threshold_uncertainty_score":0.004404366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342770450544044,"score_gpt":0.226799880709313,"score_spread":0.2133721762038726,"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."}}