{"id":"W2528750776","doi":"10.3324/haematol.2016.147835","title":"Immunophenotypic analysis of erythroid dysplasia in myelodysplastic syndromes. A report from the IMDSFlow working group","year":2016,"lang":"en","type":"article","venue":"Haematologica","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Radboud Universitair Medisch Centrum; Erasmus Medisch Centrum; Vrije Universiteit Amsterdam; Radboud Universiteit","keywords":"Myelodysplastic syndromes; Flow cytometry; Cohort; Medicine; International Prognostic Scoring System; Dysplasia; Internal medicine; Confidence interval; Pathology; Oncology; Immunology; Bone marrow","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813209,0.0003417841,0.0002181632,0.002618413,0.0002015263,0.0002770041,0.0003266384,0.0003060359,0.0006892939],"category_scores_gemma":[0.001762631,0.0001025185,0.0002524453,0.0005343874,0.0002638799,0.0001653197,0.0003799936,0.0001922755,0.0002271008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139783,"about_ca_system_score_gemma":0.0001487566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009946944,"about_ca_topic_score_gemma":0.001120099,"domain_scores_codex":[0.9995143,0.0001253167,0.00008208085,0.00007884594,0.0001507011,0.00004867663],"domain_scores_gemma":[0.9992067,0.000240158,0.000178798,0.00005803328,0.0002226496,0.00009364467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005627124,0.00005911994,0.8563457,0.0001110318,0.00007488771,0.002503807,0.0003328395,0.0003253181,0.109736,0.0001819736,0.0007574362,0.02900918],"study_design_scores_gemma":[0.0000333828,0.0003978116,0.935124,0.00006537899,0.00009045778,0.01567305,0.0002144786,0.002301721,0.04236462,0.0001553077,0.003565533,0.00001416672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934274,0.001319404,0.002679198,0.00006348403,0.00001727871,0.00009376473,0.0006402354,0.00004164905,0.001717526],"genre_scores_gemma":[0.993457,0.00071191,0.004309517,0.00006356231,0.00001811555,0.00005787901,0.0009296106,0.000009774947,0.0004427338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002618413,"threshold_uncertainty_score":0.009589255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187328569843767,"score_gpt":0.2862762903810115,"score_spread":0.2544030046825739,"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."}}