{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002966687,0.000372303,0.0001792786,0.000405521,0.000204907,0.0002423056,0.0001863201,0.00025914,0.003303064],"category_scores_gemma":[0.0001600425,0.0001473851,0.0002198871,0.0001131716,0.0002850069,0.0002152772,0.0002634492,0.0004535319,0.0003538953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005041091,"about_ca_system_score_gemma":0.0004775003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267215,"about_ca_topic_score_gemma":0.007244133,"domain_scores_codex":[0.9998623,0.00002196466,0.000009559736,0.00002660237,0.00005628308,0.00002332658],"domain_scores_gemma":[0.9999039,0.0000177564,0.00003399277,0.00001152569,0.00001483089,0.00001798072],"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":[0.00005968542,0.00001965547,0.0001500723,0.0000266541,0.000003690819,0.00003297839,0.00002215178,0.0002044659,0.9969172,0.0004245343,0.0001477097,0.001991169],"study_design_scores_gemma":[0.0000419215,0.0006985871,0.002217525,0.00001630809,0.00002876673,0.0002209811,0.00004024529,0.00157629,0.984448,0.000179912,0.010523,0.00000854916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651276,0.0009672546,0.0242563,0.0004102729,0.00007542392,0.0002406697,0.001355232,0.0008206822,0.006746562],"genre_scores_gemma":[0.9720905,0.001176957,0.01645485,0.0001171101,0.00001014706,0.0001625278,0.0009097799,0.0001293783,0.008948819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003303064,"threshold_uncertainty_score":0.01104981,"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."}}