{"id":"W4386987507","doi":"10.1016/j.leukres.2023.107401","title":"Deep immunophenotypic analysis of the bone marrow progenitor cells in myelodysplastic syndromes","year":2023,"lang":"en","type":"article","venue":"Leukemia Research","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Myelodysplastic syndromes; Immunophenotyping; Cytopenia; Chronic myelomonocytic leukemia; Medicine; Myeloid; Bone marrow; Population; Progenitor cell; International Prognostic Scoring System; Leukocytosis; Pathology; Internal medicine; Oncology; Immunology; Stem cell; Flow cytometry; Biology; Genetics","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":[0.00351238,0.0002554245,0.0008515989,0.003575622,0.0002353771,0.00005144704,0.0009091115,0.0002966438,0.0004620916],"category_scores_gemma":[0.001616896,0.0001832692,0.0003982734,0.0201895,0.0007207709,0.0001018771,0.0008903367,0.001913628,0.0007099321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003048138,"about_ca_system_score_gemma":0.00246361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110286,"about_ca_topic_score_gemma":0.0003349366,"domain_scores_codex":[0.9939263,0.0007698725,0.0007298917,0.0006658463,0.002486128,0.00142194],"domain_scores_gemma":[0.9959376,0.001570755,0.0001060068,0.001540389,0.0005756355,0.0002695846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002917071,0.0005902137,0.1754797,0.001892234,0.00464245,0.002791858,0.003961843,0.01042976,0.7684785,0.001417036,0.01690872,0.01049068],"study_design_scores_gemma":[0.005297978,0.0005657428,0.7509781,0.0004387443,0.0008683251,0.00008756878,0.002647118,0.1815216,0.05359189,0.0005671777,0.002952086,0.0004836805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945,0.0003980128,0.00001969113,0.001049188,0.0001541488,0.001296035,0.00002558001,0.00008584861,0.002471479],"genre_scores_gemma":[0.9888769,0.0002248274,0.0002140159,0.0000628775,0.0001018501,0.0002465586,0.00005560895,0.00006827181,0.01014912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7148865,"threshold_uncertainty_score":0.9700387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400598365738394,"score_gpt":0.3429631793028866,"score_spread":0.2989571956455027,"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."}}