{"id":"W2767628434","doi":"10.1242/dmm.034876","title":"Generation of mouse-zebrafish hematopoietic tissue chimeric embryos for hematopoiesis and host-pathogen interaction studies","year":2018,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Fondo Nacional de Desarrollo Científico y Tecnológico; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Zebrafish; Biology; Homing (biology); Haematopoiesis; Chimera (genetics); Cell biology; Stem cell; Hematopoietic stem cell; Bone marrow; Progenitor cell; Immunology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006400885,0.0004757965,0.0002547391,0.0009285255,0.0004822784,0.0003446016,0.0004346695,0.0005514201,0.00429461],"category_scores_gemma":[0.0002061247,0.0003140425,0.0003997243,0.000311657,0.0004186328,0.0003286635,0.0004395447,0.0008501431,0.001604695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005887665,"about_ca_system_score_gemma":0.0005588972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163768,"about_ca_topic_score_gemma":0.00232598,"domain_scores_codex":[0.9996786,0.00004261175,0.00003244719,0.00007786736,0.0001170724,0.00005147572],"domain_scores_gemma":[0.9998042,0.00003237572,0.0000572891,0.00003536406,0.0000323958,0.00003830965],"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":[0.00002463911,0.0000134392,0.0001061334,0.00002843747,0.000002946322,0.00004945338,0.00002251411,0.00004703006,0.9973904,0.0007907464,0.0001641117,0.001360127],"study_design_scores_gemma":[0.00001870498,0.0001282366,0.001719534,0.00001985624,0.00001802269,0.000281713,0.0000233257,0.0008588702,0.9809089,0.0001391959,0.01587381,0.000009838077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6660848,0.003912982,0.2909417,0.0009060475,0.0005148344,0.001963544,0.01125724,0.002404071,0.02201481],"genre_scores_gemma":[0.7540544,0.004027054,0.1956648,0.0002579568,0.00005261457,0.002475394,0.006212681,0.0006323314,0.03662281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00429461,"threshold_uncertainty_score":0.01436687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05570223950174784,"score_gpt":0.3451124970310637,"score_spread":0.2894102575293159,"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."}}