{"id":"W3094388801","doi":"10.3324/haematol.2020.260158","title":"Recapitulation of erythropoiesis in congenital dyserythropoietic anemia type I (CDA-I) identifies defects in differentiation and nucleolar abnormalities","year":2020,"lang":"en","type":"article","venue":"Haematologica","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Biotechnology and Biological Sciences Research Council; University of Oxford; Wellcome Trust; Academy of Medical Sciences; Medical Research Council; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research","keywords":"Erythropoiesis; Ineffective erythropoiesis; Nucleolus; Biology; Chromatin; Pathognomonic; Cell biology; Erythroblast; Abnormality; Cellular differentiation; Genetics; Gene; Cancer research; Anemia; Haematopoiesis; Pathology; Disease; Stem cell; Medicine; Internal medicine","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":[0.000228361,0.0002839286,0.000225492,0.0004002152,0.0001849665,0.0002713064,0.0003045317,0.0003198881,0.001341599],"category_scores_gemma":[0.0002432621,0.0001272092,0.0002704879,0.0001906797,0.0004053353,0.0001505045,0.0005361098,0.0006599246,0.0004155085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649553,"about_ca_system_score_gemma":0.0002259476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007492729,"about_ca_topic_score_gemma":0.001427078,"domain_scores_codex":[0.9997723,0.00004667689,0.0000325298,0.0000592403,0.00005897187,0.0000303183],"domain_scores_gemma":[0.9998104,0.00005281427,0.00005750139,0.00003575597,0.00001124764,0.00003241936],"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":[0.00004382063,0.00001953574,0.0006225656,0.00004372838,0.0000078495,0.0004343722,0.00004901897,0.000102912,0.9959603,0.0004323904,0.0001047535,0.002178802],"study_design_scores_gemma":[0.00001737827,0.0005080868,0.01471062,0.00002565841,0.00002785859,0.006521286,0.0001022723,0.000854889,0.9676564,0.0001899694,0.009373414,0.00001205269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775988,0.003153607,0.01398542,0.000203909,0.0001160491,0.0001209871,0.001235328,0.0002035954,0.003382259],"genre_scores_gemma":[0.986773,0.001348847,0.008040926,0.00007227009,0.00001048248,0.00006241841,0.0009327442,0.00004635792,0.002713003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001341599,"threshold_uncertainty_score":0.004488111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297355868627598,"score_gpt":0.2587596382686211,"score_spread":0.2290240514058614,"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."}}