{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005270721,0.0008974603,0.000360433,0.0004307123,0.0003618349,0.0006896303,0.00062353,0.0004123334,0.004972056],"category_scores_gemma":[0.000464335,0.0002529445,0.0003810861,0.0003397122,0.0001996564,0.0002992928,0.0005706713,0.002023918,0.003716655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552477,"about_ca_system_score_gemma":0.0002645502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000345091,"about_ca_topic_score_gemma":0.0004996527,"domain_scores_codex":[0.9996352,0.00008690033,0.00003980143,0.00006844357,0.00007046416,0.00009913679],"domain_scores_gemma":[0.9997924,0.00006099304,0.0000142557,0.00004561207,0.00003943317,0.00004724144],"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":[0.0003288164,0.0000974833,0.0003935482,0.0001010428,0.00001739354,0.0001098644,0.00004426474,0.000078344,0.99045,0.0004760874,0.0008344771,0.007068651],"study_design_scores_gemma":[0.0002296342,0.0004367237,0.006875154,0.00005584263,0.000089386,0.0008483943,0.00004703901,0.001653174,0.9609678,0.0005248614,0.02825706,0.00001494951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7147744,0.01812507,0.2355491,0.002532655,0.001216625,0.001357958,0.007632811,0.001508279,0.01730311],"genre_scores_gemma":[0.854498,0.007637094,0.07597304,0.001467203,0.0005590501,0.0009461536,0.02492866,0.0003159606,0.03367499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004972056,"threshold_uncertainty_score":0.01663321,"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."}}