{"id":"W2111404628","doi":"10.1016/j.biomaterials.2011.10.051","title":"Systematic engineering of 3D pluripotent stem cell niches to guide blood development","year":2011,"lang":"en","type":"article","venue":"Biomaterials","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; National Institute of General Medical Sciences; Stem Cell Network; Goizueta Foundation","keywords":"Brachyury; Cell biology; Stem cell; Embryonic stem cell; Progenitor cell; Mesoderm; Biology; Induced pluripotent stem cell; Embryoid body; Haematopoiesis; Cellular differentiation; Immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004688096,0.0004821858,0.0002639259,0.0004926935,0.0002423497,0.0006153895,0.0003525813,0.0003149741,0.0008489438],"category_scores_gemma":[0.0003592892,0.0003950656,0.0004482804,0.0003241109,0.0004212312,0.0002739151,0.0004971211,0.0006566478,0.0004649785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131564,"about_ca_system_score_gemma":0.0005229359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005116335,"about_ca_topic_score_gemma":0.001915399,"domain_scores_codex":[0.9996881,0.0000518748,0.00003662886,0.00004062279,0.0001367629,0.00004601677],"domain_scores_gemma":[0.9997441,0.00005841367,0.00008309283,0.00005327647,0.0000361638,0.00002505328],"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":[0.00001549465,0.0000123737,0.0001061327,0.0000508592,0.000005767972,0.00004091331,0.0000169813,0.0004980499,0.9940094,0.001031114,0.00006591852,0.004147021],"study_design_scores_gemma":[0.00000673211,0.0000379787,0.0003509797,0.000006123901,0.00001324636,0.0001137514,0.00001224095,0.001271986,0.9934686,0.0001704428,0.004541989,0.000005907709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6837448,0.003920004,0.3011595,0.0003762482,0.0001835626,0.0005223184,0.001482655,0.001010087,0.007600747],"genre_scores_gemma":[0.8253226,0.002667845,0.1668608,0.0001172465,0.0000198561,0.0002218113,0.000938733,0.0002781853,0.003572856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008489438,"threshold_uncertainty_score":0.002997637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071401552029877,"score_gpt":0.2301853566448412,"score_spread":0.2094713411245424,"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."}}