{"id":"W3121611821","doi":"10.1007/978-1-0716-1095-4_2","title":"Functionally Active Eosinophil Purification from Peripheral Blood","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Eosinophilic Disorders and Syndromes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Alberta; St. Joseph’s Healthcare Hamilton","funders":"Canadian Institutes of Health Research","keywords":"Degranulation; Percoll; Immunomagnetic separation; Flow cytometry; Differential centrifugation; Eosinophil; Peripheral blood; Whole blood; Isolation (microbiology); Centrifugation; Immunology; In vitro; CD16; Chemistry; Biology; Chromatography; Molecular biology; Antigen; Biochemistry; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002814613,0.000140919,0.000348408,0.00008804959,0.00003429359,0.000009909674,0.0000771347,0.000222514,0.0006540767],"category_scores_gemma":[0.000448206,0.0001326264,0.0001159765,0.000255534,0.00009821424,0.00002317924,0.00004916971,0.0002385911,0.000009590962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003845637,"about_ca_system_score_gemma":0.000149949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007257372,"about_ca_topic_score_gemma":0.00001513316,"domain_scores_codex":[0.9983313,0.0006602044,0.0002575697,0.0004515981,0.00008923352,0.0002101024],"domain_scores_gemma":[0.99928,0.0001285264,0.00005868286,0.0003561777,0.0001120378,0.00006453713],"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":[0.00006960261,0.0003046753,0.006621493,0.000009838515,0.0001630339,0.0001955435,0.0001314394,0.000005637648,0.944409,0.00701753,0.00002269917,0.04104952],"study_design_scores_gemma":[0.004977003,0.000689233,0.1741576,0.00008060718,0.0003821198,0.0004206214,0.0005534744,0.0003504534,0.6777992,0.1160294,0.02401782,0.0005424779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5774915,0.00429439,0.4054725,0.003890892,0.0004209997,0.0002245068,0.00002380943,0.00004386649,0.008137535],"genre_scores_gemma":[0.08002532,0.0001719351,0.9162396,0.002168375,0.0000959368,0.00005678943,0.0004062766,0.00002706429,0.000808668],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5107672,"threshold_uncertainty_score":0.7161682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242167013821302,"score_gpt":0.3691855851375107,"score_spread":0.3467639149992977,"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."}}