{"id":"W7116732553","doi":"10.20944/preprints202512.1752.v1","title":"A Nanobioarray Chip Intended for Fast and Multiplex Antibody Detection in Biological Fluids Delivered by Centrifugal Pumping","year":2025,"lang":"","type":"preprint","venue":"Preprints.org","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Biotinylation; Streptavidin; Polyclonal antibodies; Monoclonal antibody; Detection limit; Multiplex; Biological fluids; Chip","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006075643,0.001001463,0.001088211,0.0008325255,0.000529965,0.0007633414,0.001124403,0.001044485,0.003500596],"category_scores_gemma":[0.0004360834,0.0006162763,0.0004531445,0.0004619008,0.000425147,0.0004857469,0.0005080177,0.0007816673,0.003019637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006895892,"about_ca_system_score_gemma":0.000576922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006838536,"about_ca_topic_score_gemma":0.001005545,"domain_scores_codex":[0.9990997,0.00008594929,0.00003765493,0.0003117947,0.0003727402,0.00009207121],"domain_scores_gemma":[0.9996613,0.00009530467,0.00003134912,0.00005576212,0.00008743981,0.00006885138],"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":[0.00003119537,0.00001571652,0.00008157835,0.00005163569,0.000006065502,0.00001634579,0.000008730075,0.00007109359,0.995065,0.0002201446,0.0005342212,0.003898306],"study_design_scores_gemma":[0.00002037468,0.0001182906,0.001430641,0.000006378532,0.00001758472,0.0002220679,0.000008461431,0.003282058,0.9770387,0.0001494912,0.0176808,0.00002513376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1534835,0.004548193,0.8147649,0.0008995178,0.001316198,0.001081235,0.004738114,0.009070403,0.01009799],"genre_scores_gemma":[0.1848186,0.001930974,0.7867768,0.0009560413,0.0002465116,0.002957257,0.004417607,0.0003909307,0.01750525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003500596,"threshold_uncertainty_score":0.0117107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05480881334571298,"score_gpt":0.3579609278613817,"score_spread":0.3031521145156687,"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."}}