{"id":"W2983701330","doi":"10.1182/blood-2019-122187","title":"Peripheral Blood Cell Sorting Strategies for Transcriptomic Analysis in Chronic Myelomonocytic Leukemia","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Chronic myelomonocytic leukemia; Biology; CD34; Transcriptome; Haematopoiesis; Myeloid; Immunology; Stem cell; Cancer research; Molecular biology; Computational biology; Bone marrow; Genetics; Gene; Myelodysplastic syndromes; Gene expression","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":[0.0006775648,0.0005773528,0.0005565385,0.001144811,0.0005405168,0.0008233179,0.0004203339,0.0005254057,0.002707688],"category_scores_gemma":[0.0005600314,0.0002378057,0.000383994,0.0009296479,0.0002973761,0.0002313081,0.0006401498,0.0006498252,0.001962458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620076,"about_ca_system_score_gemma":0.0005842088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000449712,"about_ca_topic_score_gemma":0.001312438,"domain_scores_codex":[0.9996105,0.00005928112,0.0000292793,0.0001226623,0.0001286959,0.00004961008],"domain_scores_gemma":[0.9997936,0.00005825128,0.00003136134,0.00002120141,0.00006753872,0.0000280736],"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":[0.0001748785,0.00002866768,0.00135764,0.0003033099,0.00001778886,0.00008122171,0.00007012454,0.0002527865,0.9755498,0.0002439687,0.0007338558,0.02118598],"study_design_scores_gemma":[0.0001388466,0.001052067,0.05134752,0.0002643661,0.0001851189,0.001526336,0.0004307222,0.01736938,0.8409317,0.003247659,0.08342569,0.00008060464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.478594,0.0169306,0.4630072,0.001153871,0.0005941433,0.00211232,0.02751754,0.003476755,0.006613496],"genre_scores_gemma":[0.4100844,0.01015402,0.5314912,0.001551767,0.0002636874,0.004666129,0.0351876,0.0006569421,0.005944267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002707688,"threshold_uncertainty_score":0.009058118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568655920197429,"score_gpt":0.2829441115322259,"score_spread":0.2672575523302516,"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."}}