{"id":"W2994869882","doi":"10.3324/haematol.2019.223040","title":"Humanized zebrafish enhance human hematopoietic stem cell survival and promote acute myeloid leukemia clonal diversity","year":2019,"lang":"en","type":"article","venue":"Haematologica","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Memorial University of Newfoundland; Izaak Walton Killam Health Centre; University of Ottawa; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Research Institute; Terry Fox Research Institute; Hope Foundation; Beatrice Hunter Cancer Research Institute; Nova Scotia Health Research Foundation","keywords":"Zebrafish; Xenotransplantation; Biology; Haematopoiesis; Leukemia; Homing (biology); Myeloid leukemia; Stem cell; Progenitor cell; Cancer research; Hematopoietic stem cell; Immunology; Transplantation; Cell biology; Medicine; Genetics; Internal medicine; Gene","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":[0.0003102387,0.0002267237,0.0003523796,0.0000462775,0.0003789068,0.00005051642,0.0005396988,0.0002734734,0.0002356924],"category_scores_gemma":[0.00002649093,0.0001993269,0.0001001535,0.0001391663,0.0003111576,0.000009078541,0.001332587,0.0002347235,0.000202881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003888628,"about_ca_system_score_gemma":0.00008765775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002339738,"about_ca_topic_score_gemma":0.00002416559,"domain_scores_codex":[0.9980744,0.0001093372,0.0002613657,0.0007031648,0.0003789015,0.0004728053],"domain_scores_gemma":[0.9989204,0.00003988931,0.0001238191,0.0005610868,0.00009992811,0.0002548649],"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":[0.000109724,0.0001543633,0.004595888,0.0001567944,0.0001018582,0.00004570102,0.0001144178,4.46828e-7,0.9880298,0.002054188,0.003991498,0.0006453415],"study_design_scores_gemma":[0.002733645,0.001261516,0.01947484,0.00005968387,0.00008979713,0.0001922037,0.0003465149,0.00006697882,0.9439136,0.0020796,0.02883274,0.0009488355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935143,0.0002312044,0.0004182142,0.0003065959,0.00005826016,0.0006097378,0.0000364641,0.00005328017,0.004771917],"genre_scores_gemma":[0.9961299,0.0001330796,0.0004789357,0.0001794036,0.00005047081,0.00005345777,0.0001293642,0.00002067983,0.002824698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04411614,"threshold_uncertainty_score":0.8128313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145468262559767,"score_gpt":0.2703530910582754,"score_spread":0.2558062648022987,"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."}}