{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002043774,0.0001681743,0.0002051923,0.00006083493,0.0001552586,0.00002593163,0.000162173,0.00008873294,0.00001775301],"category_scores_gemma":[0.0002487823,0.0001598334,0.00007520324,0.0001098672,0.0002026774,0.00001815169,0.0001587099,0.00004369408,0.000006474271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001992006,"about_ca_system_score_gemma":0.00008383217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006089772,"about_ca_topic_score_gemma":0.00001491444,"domain_scores_codex":[0.9987422,0.00004887883,0.0002676045,0.0004508709,0.0002409327,0.0002495271],"domain_scores_gemma":[0.9988586,0.00002677157,0.0001112085,0.0003839161,0.0003766765,0.000242792],"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":[0.0001010075,0.0001054427,0.000002539972,0.0001183491,0.00008612824,6.092882e-7,0.0001090422,0.00001413047,0.9909682,0.006137025,0.001572131,0.0007854404],"study_design_scores_gemma":[0.0004305096,0.0004087365,0.00001899102,0.00002631093,0.00007300615,0.000004001763,0.0002627895,0.01609595,0.9693782,0.01238526,0.0007277328,0.0001885228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6041339,0.000995895,0.3931735,0.0004752956,0.00008951565,0.0008223958,0.0002454415,0.00002480284,0.00003929576],"genre_scores_gemma":[0.9906516,0.0002366153,0.007420992,0.0002729385,0.0002399302,0.0006077186,0.0003128042,0.00003707932,0.0002203107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3865177,"threshold_uncertainty_score":0.6517817,"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."}}