{"id":"W2618403165","doi":"10.1038/ncomms15380","title":"Engineering the haemogenic niche mitigates endogenous inhibitory signals and controls pluripotent stem cell-derived blood emergence","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Waterloo; Sunnybrook Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Haematopoiesis; Cell biology; Induced pluripotent stem cell; Biology; Stem cell; Progenitor cell; Micropatterning; CD34; Embryonic stem cell; Genetics","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":[0.0003536325,0.0001455289,0.0001265768,0.00003041761,0.0009963632,0.0001123006,0.001991719,0.000259056,0.00001064643],"category_scores_gemma":[0.0004484627,0.000115234,0.00008265288,0.00006442009,0.000486102,0.000009103461,0.001049365,0.0006130728,0.000008541433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009883724,"about_ca_system_score_gemma":0.00009957358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002134631,"about_ca_topic_score_gemma":0.00008468961,"domain_scores_codex":[0.9989629,0.00009675946,0.0002061164,0.0002737052,0.0001947299,0.0002658004],"domain_scores_gemma":[0.9965886,0.0001725408,0.000137428,0.00276858,0.0001696681,0.000163113],"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":[0.000005942622,0.00007657192,0.0002944947,0.000008439466,0.00008226951,0.000001029872,0.00004761282,0.00000634069,0.9966448,0.0002487053,0.001325536,0.00125825],"study_design_scores_gemma":[0.00073243,0.00008744638,0.004945364,0.00002544898,0.000090327,0.00003254303,0.0001246182,0.0005756615,0.8970006,0.00007586952,0.09605805,0.0002516091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976919,0.08158154,0.0005199412,0.01617423,0.0001426602,0.001324448,0.0001774422,0.0000570394,0.002330765],"genre_scores_gemma":[0.9905733,0.007569901,0.0008781425,0.0002878057,0.0001096214,0.0002907008,0.00008062024,0.00002069594,0.0001891767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09964418,"threshold_uncertainty_score":0.7663321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151235470308614,"score_gpt":0.2762615662278063,"score_spread":0.2547492115247202,"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."}}