{"id":"W3082248655","doi":"10.1016/j.stem.2020.08.010","title":"Hematopoiesis in High Definition: Combining State and Fate Mapping","year":2020,"lang":"en","type":"letter","venue":"Cell stem cell","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; McMaster University","funders":"Ontario Institute for Cancer Research","keywords":"Biology; Haematopoiesis; State (computer science); Fate mapping; Evolutionary biology; Computational biology; Genetics; Cell biology; Stem cell; Progenitor cell; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000202477,0.0006055515,0.001194422,0.0003700012,0.00009514236,0.00008419277,0.0001726939,0.0006001676,0.0002725616],"category_scores_gemma":[0.000004847581,0.0006316765,0.0001502437,0.0003861714,0.0001006074,0.00008660674,0.00007450033,0.001719006,0.0006173175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406064,"about_ca_system_score_gemma":0.000147095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006216751,"about_ca_topic_score_gemma":0.000003376071,"domain_scores_codex":[0.9967542,0.0001828053,0.0009557691,0.0008828337,0.0005741492,0.0006502692],"domain_scores_gemma":[0.998471,0.0004469561,0.0003541575,0.0004465217,0.00007374711,0.0002076119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003546452,0.0003965668,0.007533829,0.1048527,0.0003119693,0.04870085,0.02052468,0.00002160167,0.01776648,0.00008981986,0.7979001,0.001546768],"study_design_scores_gemma":[0.03394904,0.001557237,0.003294208,0.01965258,0.002394518,0.002271954,0.006368599,0.000935267,0.1723678,0.003695708,0.7468583,0.006654838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3566942,0.005614613,0.002733513,0.4576103,0.002050437,0.00524982,0.000463667,0.0007082656,0.1688752],"genre_scores_gemma":[0.451785,0.002535439,0.00608836,0.5186177,0.001377544,0.0002802277,0.002517351,0.000580635,0.0162177],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1546013,"threshold_uncertainty_score":0.9996135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272350873365527,"score_gpt":0.2209245462452627,"score_spread":0.1882010375116074,"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."}}