{"id":"W2892173888","doi":"10.1111/gtc.12645","title":"Flow cytometric quantitation of EpCAM‐positive extracellular vesicles by immunomagnetic separation and phospholipid staining method","year":2018,"lang":"en","type":"article","venue":"Genes to Cells","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Tohoku University","keywords":"Flow cytometry; Staining; Immunofluorescence; Molecular biology; Immunomagnetic separation; Antigen; Biology; Vesicle; Antibody; Biochemistry; Immunology","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":[0.0004111203,0.0001870199,0.0001826824,0.0001260322,0.00009782783,0.00003973017,0.0001737543,0.0001257033,0.00004221583],"category_scores_gemma":[0.00008021369,0.0002063101,0.00006503803,0.0003255286,0.0001211876,0.00001223149,0.0001193664,0.00004851251,0.00003191355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001709676,"about_ca_system_score_gemma":0.00005188378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323486,"about_ca_topic_score_gemma":0.000005439002,"domain_scores_codex":[0.998642,0.0001549255,0.0003227453,0.0004472974,0.0001790975,0.0002539491],"domain_scores_gemma":[0.999111,0.00004661329,0.0001468248,0.000354219,0.0002106181,0.0001307127],"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":[0.0001598277,0.00006830618,0.0002115704,0.00002884604,0.0000407805,0.000002283196,0.0002766394,0.0002614078,0.9694355,0.00003418193,0.0008066937,0.02867393],"study_design_scores_gemma":[0.0004032828,0.001028651,0.0009416936,0.0000149479,0.00005227078,0.000006251906,0.0001510648,0.002528343,0.9887344,0.00004607484,0.005861088,0.0002319514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868539,0.01470647,0.1159807,0.00002716948,0.0001326998,0.0002967677,0.00007245864,0.00001123101,0.0002335251],"genre_scores_gemma":[0.9367722,0.0002836758,0.0619751,0.00008324419,0.0001453795,0.00001836351,0.0001298912,0.00003350991,0.0005586446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06823324,"threshold_uncertainty_score":0.8413081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007879417986575854,"score_gpt":0.2914000870505777,"score_spread":0.2835206690640018,"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."}}