{"id":"W2092084177","doi":"10.1016/j.stemcr.2014.04.009","title":"FOXN1GFP/w Reporter hESCs Enable Identification of Integrin-β4, HLA-DR, and EpCAM as Markers of Human PSC-Derived FOXN1+ Thymic Epithelial Progenitors","year":2014,"lang":"en","type":"article","venue":"Stem Cell Reports","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Medical Research Council; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Monash University; Stem Cells Australia","keywords":"Biology; Progenitor cell; Cell biology; Flow cytometry; Embryonic stem cell; Induced pluripotent stem cell; Cancer research; Stem cell; Molecular biology; Immunology; Gene; 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":[0.0001506144,0.0001397897,0.0001409505,0.000198558,0.0001283135,0.0002384587,0.0001190262,0.0001601946,0.001213509],"category_scores_gemma":[0.0001310824,0.0001266049,0.0001135059,0.0001636453,0.0001748833,0.0001349419,0.000201679,0.0002786219,0.0004169026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587614,"about_ca_system_score_gemma":0.0001638664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002911376,"about_ca_topic_score_gemma":0.0009168424,"domain_scores_codex":[0.9999018,0.00001043992,0.00001049772,0.00002607514,0.00003558146,0.00001556213],"domain_scores_gemma":[0.9999312,0.00001547676,0.00001695986,0.00001297639,0.00001161438,0.00001187978],"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":[0.00002466367,0.000005196567,0.0003139838,0.00001121478,0.000001177958,0.00003694716,0.00002037756,0.00009032321,0.9968423,0.000215459,0.00003294178,0.002405342],"study_design_scores_gemma":[0.000003238013,0.00001875449,0.002639991,0.000003122942,0.000004285773,0.0001571541,0.00001466389,0.001030465,0.9933341,0.00006486508,0.002727748,0.000001715841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949002,0.000419976,0.04444034,0.00006484962,0.00002086088,0.0000996906,0.001197168,0.000280683,0.004474562],"genre_scores_gemma":[0.9442689,0.0006920046,0.04240269,0.00006480431,0.000009921492,0.0001336996,0.001975367,0.0001382275,0.01031436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001213509,"threshold_uncertainty_score":0.004059613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765811314285098,"score_gpt":0.2515607092399941,"score_spread":0.242794897925709,"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."}}