{"id":"W3015957416","doi":"10.1101/2020.04.07.007237","title":"Single cell profiling of immature human postnatal thymocytes resolves the complexity of intra-thymic lineage differentiation and thymus seeding precursors","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stand Up To Cancer; Fondation contre le Cancer; Universiteit Gent; Vlaamse regering; University of Toronto; Chan Zuckerberg Initiative","keywords":"Biology; Haematopoiesis; Thymocyte; Cell biology; Progenitor cell; Lineage (genetic); Transcription factor; Bone marrow; Cellular differentiation; Immunology; Cell; T cell; Stem cell; Gene; Immune system; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002574998,0.0004041958,0.0004854847,0.00007975138,0.0001427216,0.00007839208,0.0004682876,0.0004924394,0.000003942857],"category_scores_gemma":[0.0001032773,0.0003552778,0.0001723849,0.0001489637,0.0004418041,0.00001067164,0.0004098063,0.0005149328,4.150301e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002874049,"about_ca_system_score_gemma":0.0001293489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005065959,"about_ca_topic_score_gemma":0.000006400174,"domain_scores_codex":[0.9981402,0.0001268479,0.0005638532,0.0006581448,0.0002342856,0.0002766626],"domain_scores_gemma":[0.998406,0.00002865495,0.0005753847,0.0005996608,0.000286673,0.0001036583],"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":[0.0001435842,0.0001489506,0.00481231,0.0009109097,0.0001240962,0.000002442271,0.00006223589,0.00002736927,0.9935402,0.0002129663,0.00001356994,0.000001413943],"study_design_scores_gemma":[0.0004397045,0.0002009811,0.03480263,0.0002104608,0.0001247831,3.195076e-8,0.00002181788,0.0003660798,0.963438,0.000005992402,0.00005611201,0.0003333657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944931,0.003154944,0.0009131817,0.00008870788,0.0003368125,0.0005681702,0.0003912446,0.00004181833,0.00001205637],"genre_scores_gemma":[0.9963294,0.000305979,0.002857911,0.0000430714,0.0003556561,0.0000212104,0.00001219863,0.00007324552,0.000001336001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03010211,"threshold_uncertainty_score":0.9998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453636966734795,"score_gpt":0.2175708547550323,"score_spread":0.1930344850876844,"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."}}