{"id":"W7106599797","doi":"","title":"Combining Electrohydrodynamics and Biomolecular Recognition: A Study of Conductivity Effects on ACEO and Antibody-Antigen Binding","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"École Centrale de Lyon; Institut National des Sciences Appliquées de Lyon; Centre National de la Recherche Scientifique; Fonds de recherche du Québec – Nature et technologies; Université Grenoble Alpes; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Indian National Science Academy","keywords":"Conductivity; Electrohydrodynamics; Electrical resistivity and conductivity; Thermal conductivity","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":[0.0003275827,0.0002014001,0.0003876834,0.0001080808,0.0002511482,0.0005389685,0.0005300787,0.0004179787,0.001313922],"category_scores_gemma":[0.0006524138,0.0001391866,0.0001704401,0.0001849566,0.0006813928,0.0004883684,0.0003047786,0.0008224878,0.000192503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022805,"about_ca_system_score_gemma":0.0001811744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003352507,"about_ca_topic_score_gemma":0.0002748613,"domain_scores_codex":[0.9998025,0.00003557569,0.000003979031,0.00004741541,0.00005903099,0.00005153771],"domain_scores_gemma":[0.9994923,0.0003666336,0.00004133196,0.00002684579,0.00003328809,0.00003968295],"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":[0.0002828187,0.000143128,0.0002877753,0.00006478975,0.00001073895,0.0001234776,0.00007603422,0.00055646,0.9940178,0.0006755646,0.00008876306,0.003672531],"study_design_scores_gemma":[0.00004608753,0.0004555661,0.002062899,0.000007136335,0.0000175851,0.0001844834,0.0001082299,0.01541257,0.9803423,0.0005133437,0.0008376587,0.00001219694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992802,0.000625366,0.004484171,0.0001235609,0.00003054202,0.00001961711,0.0000193769,0.00001954078,0.001875841],"genre_scores_gemma":[0.9969901,0.000448959,0.001277713,0.00006822848,0.00002242807,0.0000127726,0.00002866942,0.00001132897,0.001139732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001313922,"threshold_uncertainty_score":0.004395545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093861736594756,"score_gpt":0.2772525392043089,"score_spread":0.2663139218383614,"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."}}