{"id":"W3166992895","doi":"10.1007/s40778-021-00191-9","title":"Understanding Normal and Pathological Hematopoietic Stem Cell Biology Using Mathematical Modelling","year":2021,"lang":"en","type":"article","venue":"Current Stem Cell Reports","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Centre de recherche du CHU Sainte-Justine","keywords":"Haematopoiesis; Stem cell; Hematopoietic stem cell; Biology; Systems biology; Leukemia; Myeloid leukemia; Blood cell; Computational biology; Cell biology; Myeloid; Immunology; Cancer research","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":[],"consensus_categories":[],"category_scores_codex":[0.0006713084,0.0002868247,0.0006468028,0.000135028,0.0001850608,0.00005792287,0.0000694573,0.0002381053,0.0001345305],"category_scores_gemma":[0.00001700975,0.0002384174,0.000150159,0.0002552808,0.0001847191,0.00008386836,0.0003069222,0.0006325658,0.00002446064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895587,"about_ca_system_score_gemma":0.0004287761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001643875,"about_ca_topic_score_gemma":1.797469e-7,"domain_scores_codex":[0.9972587,0.0001543203,0.0007868637,0.00074457,0.0004162724,0.0006393075],"domain_scores_gemma":[0.9984931,0.000198867,0.0002444104,0.000541368,0.0001364282,0.0003858347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009143038,0.007789155,0.1666279,0.04309505,0.0006307059,0.1796047,0.01724863,0.01360015,0.5191235,0.02246704,0.00368662,0.02521227],"study_design_scores_gemma":[0.006922143,0.0009601209,0.0002325545,0.003533875,0.00147286,0.07227756,0.01452006,0.6481213,0.2227511,0.01970087,0.006761234,0.002746368],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044665,0.003790927,0.1861646,0.00007807367,0.0003245584,0.0003743891,0.000003657137,0.00007581695,0.004721474],"genre_scores_gemma":[0.996398,0.0003580718,0.002381708,0.00003209503,0.0001191056,0.00001283671,0.0000269368,0.00004264942,0.0006285695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6345211,"threshold_uncertainty_score":0.972238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910832004733411,"score_gpt":0.3389738193506757,"score_spread":0.1478906188773346,"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."}}