{"id":"W4409036916","doi":"10.1101/2025.03.26.645608","title":"PiP-plex: A Particle-in-Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada; McGill Genome Centre","funders":"","keywords":"Particle (ecology); Multiplexing; Single particle analysis; Computational biology; Chemistry; Cell biology; Biology; Physics; Computer science; Telecommunications","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":[0.001225766,0.0006274185,0.0004998249,0.0006080058,0.0002490684,0.0008354321,0.0006540848,0.0008098311,0.002843825],"category_scores_gemma":[0.0006067962,0.0004260046,0.0003102616,0.0003010362,0.0004889574,0.0006169954,0.0006476334,0.001303161,0.001180758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004467619,"about_ca_system_score_gemma":0.000337872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001888767,"about_ca_topic_score_gemma":0.0002544299,"domain_scores_codex":[0.9992214,0.0001422873,0.00006424123,0.0002269179,0.0002727128,0.00007248844],"domain_scores_gemma":[0.9996159,0.0001170065,0.00008539474,0.00006330645,0.00006770824,0.00005065158],"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":[0.0001038467,0.0000479675,0.0002406043,0.00007593843,0.00001300892,0.00005022749,0.0000329268,0.0003958633,0.9914732,0.0004707896,0.0006166417,0.00647886],"study_design_scores_gemma":[0.000008542551,0.0001132384,0.0003692625,0.000005359611,0.000009169034,0.0001060048,0.000008035247,0.005664644,0.9902512,0.000115303,0.003334663,0.00001459537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3831724,0.001708184,0.5983611,0.000608925,0.0003368022,0.0005178067,0.003204528,0.007917808,0.004172428],"genre_scores_gemma":[0.5970318,0.00140201,0.3867196,0.0003412505,0.0001003789,0.001294272,0.00270746,0.0002549108,0.01014828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002843825,"threshold_uncertainty_score":0.009513557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926792116004413,"score_gpt":0.2270058756788409,"score_spread":0.2077379545187968,"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."}}