{"id":"W4406124203","doi":"10.3390/ma18020215","title":"Microfluidic Integration of Magnetically Functionalized Microwires for Flow Cytometry Protein Quantification","year":2025,"lang":"en","type":"article","venue":"Materials","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; National Research Council Canada","funders":"","keywords":"Microfluidics; Materials science; Nanotechnology; Fluorescence; Magnetic nanoparticles; Flow cytometry; Biomedical engineering; Nanoparticle; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150312,0.0001131894,0.0002045722,0.0001839252,0.00003685496,0.00003914537,0.0001092813,0.0001425761,0.0001135889],"category_scores_gemma":[0.0001215529,0.0001007837,0.00004168357,0.0001630777,0.00006614718,0.00003845572,0.00002270966,0.00003173104,0.00001179857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003613344,"about_ca_system_score_gemma":0.00001848672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087777,"about_ca_topic_score_gemma":7.628382e-7,"domain_scores_codex":[0.9993148,0.00002056503,0.0003427263,0.0001382744,0.00005638611,0.0001272589],"domain_scores_gemma":[0.9996316,0.00003635848,0.00004007979,0.0001962251,0.00008583572,0.000009858987],"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":[0.00006581461,0.00001659195,0.0000056257,0.0002647125,0.00002030781,1.354473e-7,0.00001065458,0.000001350189,0.9688789,0.002714387,0.01837916,0.009642317],"study_design_scores_gemma":[0.0002629611,0.00003286589,0.0003352552,0.0001168585,0.00002077078,8.69136e-7,0.00003034921,0.0001090241,0.9814416,0.001613903,0.0159452,0.00009033152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708945,0.003074037,0.2237961,0.0002793955,0.0006155738,0.0006197885,0.0001329629,0.0004123369,0.000175326],"genre_scores_gemma":[0.981874,0.0004042623,0.01674807,0.00002610312,0.00003895285,0.00009445177,0.0001370111,0.00001758502,0.0006595138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2109795,"threshold_uncertainty_score":0.410984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484502099088698,"score_gpt":0.2394438803160089,"score_spread":0.2245988593251219,"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."}}