{"id":"W3216924353","doi":"10.1101/2021.11.24.469676","title":"Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Youth Innovation Promotion Association; Beijing Institute of Genomics, Chinese Academy of Sciences; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China; Qilu Hospital of Shandong University; Shandong University","keywords":"Mesenchymal stem cell; Biology; Cell biology; Progenitor cell; Adipogenesis; Stem cell; Population; Cellular differentiation; Immunology; Gene; Genetics; Medicine","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":[0.0001840494,0.000171501,0.00028025,0.0006374798,0.0001576579,0.0005045607,0.0001044876,0.0001999999,0.000642536],"category_scores_gemma":[0.0002135067,0.0001069504,0.0002133195,0.0003391571,0.0002099241,0.0001456581,0.0001688824,0.0002383319,0.0003881224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262685,"about_ca_system_score_gemma":0.000142132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639782,"about_ca_topic_score_gemma":0.0004419753,"domain_scores_codex":[0.9998646,0.00001175357,0.000009460474,0.00005350082,0.00003873357,0.00002195236],"domain_scores_gemma":[0.999862,0.00005063565,0.00002912295,0.00001674341,0.00002326814,0.00001832618],"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":[0.00002083908,0.000002892658,0.0007330031,0.00001724119,0.000003867948,0.00002152126,0.00001670631,0.00004245317,0.9981091,0.00003450079,0.00001887722,0.0009789441],"study_design_scores_gemma":[0.00001288457,0.0001799115,0.1681946,0.00002108555,0.0001002435,0.0007156156,0.0002701018,0.005669906,0.8175079,0.0006168016,0.006685568,0.00002535691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789858,0.001142654,0.01349411,0.00007757141,0.00002635502,0.00002761535,0.005133567,0.0001051782,0.001007128],"genre_scores_gemma":[0.981424,0.0007111483,0.01010252,0.00009328248,0.00002944993,0.00006358692,0.006138177,0.00007225518,0.001365548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000642536,"threshold_uncertainty_score":0.002149522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03500160897284485,"score_gpt":0.2495227627506023,"score_spread":0.2145211537777574,"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."}}