{"id":"W3007935659","doi":"10.1101/2020.02.25.964650","title":"Control of tissue development by cell cycle dependent transcriptional filtering","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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada First Research Excellence Fund; University of Toronto","keywords":"Multicellular organism; Cell cycle; Biology; Cell; Gene; Computational biology; Organism; Cell growth; Cell fate determination; Cell biology; Genome; Gene expression; Embryonic stem cell; Genetics; Transcription factor","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002121702,0.000471044,0.0004865646,0.00006579358,0.0000896199,0.00006137351,0.0005256044,0.0005188997,0.0000390414],"category_scores_gemma":[0.00003054545,0.0005449741,0.0001548507,0.00009149586,0.00008108258,0.00000667953,0.0001664641,0.0003709703,0.0000158079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006562295,"about_ca_system_score_gemma":0.000477544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003581191,"about_ca_topic_score_gemma":0.000003390924,"domain_scores_codex":[0.9977443,0.00007996791,0.0006015461,0.0008522124,0.0003311625,0.0003908205],"domain_scores_gemma":[0.9987035,0.00001158212,0.0002733037,0.0005535216,0.0002186226,0.0002394695],"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":[0.0001089631,0.0001991705,0.0009302154,0.0004150726,0.0001589105,0.000009152471,0.00001240744,0.0002192619,0.9976966,0.00002095987,0.0002243026,0.000004967961],"study_design_scores_gemma":[0.001046277,0.0001114553,0.002807905,0.00007978511,0.00007070666,1.556764e-8,0.000001433992,0.0001415866,0.9752823,5.809329e-7,0.01990258,0.0005553409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045475,0.002183971,0.09111089,0.0001068031,0.0006981848,0.0005365309,0.0007323902,0.00006642919,0.00001727594],"genre_scores_gemma":[0.9932003,0.0001540937,0.005892703,0.0002390954,0.000295198,0.00009332974,0.000008342569,0.0001054265,0.00001151664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08865277,"threshold_uncertainty_score":0.9997002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020674488152044,"score_gpt":0.1977288159579688,"score_spread":0.1875220710764483,"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."}}