{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006153015,0.0003872485,0.0008806822,0.000376975,0.001568795,0.002970609,0.001224048,0.01971846,0.001914455],"category_scores_gemma":[0.01135978,0.0004229808,0.0006766636,0.0002362806,0.003674512,0.003235861,0.001786711,0.02594423,0.001093792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019441,"about_ca_system_score_gemma":0.001319408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770948,"about_ca_topic_score_gemma":0.004714669,"domain_scores_codex":[0.9978901,0.001007152,0.000162988,0.0001793343,0.0006078217,0.0001525704],"domain_scores_gemma":[0.9920853,0.006896205,0.000139544,0.0002466385,0.0003954155,0.0002369365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004753334,0.0001519284,0.00251856,0.0001860802,0.00005585079,0.003325127,0.0007157592,0.0008697413,0.005398429,0.1017373,0.7419726,0.1425933],"study_design_scores_gemma":[0.0001314426,0.000163164,0.001667846,0.0002219731,0.00005213365,0.003851345,0.0006423541,0.004690438,0.00480458,0.1687418,0.8149412,0.00009163468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002659848,0.005316947,0.01158225,0.9612775,0.01195006,0.00002870625,0.00005589334,0.0001400193,0.006988824],"genre_scores_gemma":[0.06564268,0.006962349,0.02045373,0.8515347,0.03475893,0.0002789644,0.00008350938,0.0001714585,0.02011374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01971846,"threshold_uncertainty_score":0.03254068,"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."}}