{"id":"W2909553215","doi":"10.1182/blood-2018-10-878025","title":"A topological view of human CD34+ cell state trajectories from integrated single-cell output and proteomic data","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"Biology; Transcription factor; Haematopoiesis; Cell biology; Single-cell analysis; Cell; Cord blood; CD34; Stromal cell; Computational biology; Genetics; Stem cell; Gene; Cancer research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095064,0.0001722378,0.0002509661,0.00002094789,0.00003664739,0.00002639515,0.0003193943,0.000145765,0.00003545496],"category_scores_gemma":[0.00001535569,0.0001433571,0.00004657477,0.00004722852,0.0001044481,0.000006216741,0.0001419264,0.0001110135,0.000005818337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003717051,"about_ca_system_score_gemma":0.00004931309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003171775,"about_ca_topic_score_gemma":0.00009160205,"domain_scores_codex":[0.9989723,0.00006293483,0.000249584,0.0004447295,0.00008736728,0.0001830707],"domain_scores_gemma":[0.9992571,0.00001373334,0.00009216239,0.0005324851,0.00004580335,0.00005867642],"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":[0.00006288165,0.0005571941,0.01517921,0.00006652896,0.00003747496,0.000002375038,0.00009557541,9.561302e-7,0.9835289,0.000004170821,0.00004726708,0.0004175179],"study_design_scores_gemma":[0.001956244,0.0008882699,0.00229333,0.00002803295,0.00006449573,0.000002383924,0.00007210473,0.00002200168,0.9921326,0.00008874181,0.002247525,0.0002042739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970396,0.001315568,0.0001758924,0.00001434926,0.00009897072,0.0002978657,0.00031454,0.00001478036,0.0007284815],"genre_scores_gemma":[0.9973997,0.0001472449,0.001085823,0.00004753895,0.00006621085,0.000005125147,0.0006764175,0.00002070719,0.0005511969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288588,"threshold_uncertainty_score":0.5845932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948335617494179,"score_gpt":0.2322308242176813,"score_spread":0.2027474680427395,"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."}}