{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001227907,0.0001036454,0.0001949583,0.0002592205,0.0001247489,0.0003100052,0.00009091348,0.0001863904,0.0006612508],"category_scores_gemma":[0.000197242,0.00008759049,0.00009915236,0.0002173715,0.000117287,0.0000818439,0.0001313777,0.0001942641,0.0003131044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007219332,"about_ca_system_score_gemma":0.0001076466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005108945,"about_ca_topic_score_gemma":0.0009603542,"domain_scores_codex":[0.9999291,0.000006120495,0.000003349059,0.00003108089,0.00002113693,0.000009240499],"domain_scores_gemma":[0.9999294,0.00002236137,0.00001239622,0.000009055563,0.00001686665,0.000009944074],"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":[0.0000429249,0.000005152342,0.006574006,0.00002220186,0.000006387493,0.00004011854,0.00004047845,0.0003534399,0.9883634,0.0000723823,0.0000649775,0.004414601],"study_design_scores_gemma":[0.000007512078,0.0001287668,0.2124921,0.00001698619,0.00004427173,0.0007005924,0.0002175539,0.01526815,0.7658113,0.0005733369,0.004723863,0.00001569125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817935,0.0006153552,0.01466097,0.00003482219,0.000007028263,0.00001131551,0.002097887,0.0001027942,0.0006763574],"genre_scores_gemma":[0.9859262,0.0004161129,0.01041528,0.00003559574,0.000009477991,0.00001856451,0.002239631,0.00004591681,0.000893247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006612508,"threshold_uncertainty_score":0.002212107,"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."}}