{"id":"W4380576154","doi":"10.1002/cyto.a.24733","title":"Antibody titrations are critical for microflow cytometric analysis of extracellular vesicles","year":2023,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Oil Sands Technology and Research Authority","funders":"Prostate Cancer Fight Foundation; Prostate Cancer Canada; Alberta Cancer Foundation","keywords":"Titration; Flow cytometry; Extracellular vesicles; Chemistry; Antibody; Cytometry; Reagent; Molecular biology; Biology; Immunology; Cell biology","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":[0.01252045,0.001681249,0.001794483,0.001879416,0.00226234,0.003530264,0.001694242,0.002900236,0.009862248],"category_scores_gemma":[0.02585848,0.001774201,0.0009773732,0.001695878,0.001972957,0.002454699,0.001848558,0.005266909,0.008748866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008968589,"about_ca_system_score_gemma":0.001830965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009021,"about_ca_topic_score_gemma":0.002669359,"domain_scores_codex":[0.9846008,0.004563578,0.001668368,0.0022234,0.006128524,0.0008152699],"domain_scores_gemma":[0.9806265,0.009692595,0.001234902,0.002346258,0.005483929,0.0006158242],"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":[0.000226945,0.0002232132,0.001333126,0.0007143421,0.00005623512,0.0002122344,0.0006020328,0.000567647,0.9524609,0.003334052,0.006509747,0.0337595],"study_design_scores_gemma":[0.00005221358,0.0002849046,0.003060376,0.0002527254,0.00007178149,0.000555952,0.0001483665,0.006556332,0.9089363,0.003312039,0.07663805,0.0001310156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07243802,0.007173116,0.8788587,0.005306166,0.003430675,0.003868547,0.001542896,0.01048537,0.01689641],"genre_scores_gemma":[0.1246967,0.007055739,0.8397938,0.003200844,0.0007143609,0.005576252,0.00264282,0.004259847,0.01205954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01252045,"threshold_uncertainty_score":0.06621522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804098869122463,"score_gpt":0.3482060373971429,"score_spread":0.3201650487059183,"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."}}