{"id":"W2338574807","doi":"10.1038/srep23885","title":"Tracking of Normal and Malignant Progenitor Cell Cycle Transit in a Defined Niche","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; NIH Clinical Center; University of California, San Diego; National Institute of General Medical Sciences; California Institute for Regenerative Medicine","keywords":"Niche; Progenitor cell; Transit (satellite); Progenitor; Cell cycle; Computational biology; Computer science; Biology; Bioinformatics; Stem cell; Cell; Cell biology; Ecology; Genetics; Transport engineering; Public transport; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002365583,0.0001916844,0.000189975,0.000374294,0.0002405731,0.0004256139,0.0001847456,0.000222371,0.0008358291],"category_scores_gemma":[0.0001814612,0.0001510817,0.0001087711,0.0002543336,0.0002447153,0.0002935942,0.0002310242,0.0005231817,0.0001947164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324375,"about_ca_system_score_gemma":0.0004191384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568199,"about_ca_topic_score_gemma":0.003660714,"domain_scores_codex":[0.9999089,0.00001011538,0.000005204785,0.00002598903,0.00003097342,0.00001878371],"domain_scores_gemma":[0.9998866,0.00003310812,0.00002652047,0.00001258072,0.00002001433,0.0000212224],"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":[0.00006428752,0.00001471406,0.0008589017,0.00002233876,0.000001590265,0.00001679578,0.00006065325,0.0001684922,0.9953098,0.0003688232,0.00002705974,0.003086688],"study_design_scores_gemma":[0.0000079877,0.00009940707,0.004958274,0.000005059899,0.000005748816,0.0000913478,0.00004782963,0.004577195,0.988071,0.0001547419,0.001976412,0.000004941122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481854,0.001097909,0.04776551,0.00007585649,0.00001597836,0.00007231659,0.0004325879,0.0001793863,0.00217512],"genre_scores_gemma":[0.9500973,0.0008498696,0.04595513,0.00004370628,0.000005719266,0.0001154171,0.0003880185,0.00006164895,0.002483308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001568199,"threshold_uncertainty_score":0.003137529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134526742723293,"score_gpt":0.2427301119817939,"score_spread":0.2292774377094646,"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."}}