{"id":"W4394314266","doi":"10.6084/m9.figshare.19759437","title":"Additional file 2 of Polycomb contraction differentially regulates terminal human hematopoietic differentiation programs","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; University of British Columbia","funders":"","keywords":"Terminal (telecommunication); Haematopoiesis; Cell biology; Contraction (grammar); Computer science; Chemistry; Biology; Computer network; Stem cell; Endocrinology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001036856,0.001292141,0.001566454,0.001816821,0.0006920548,0.002082993,0.001827024,0.001456299,0.5742688],"category_scores_gemma":[0.01083064,0.0005656724,0.001138936,0.003467404,0.0002865586,0.001319371,0.001188764,0.001137331,0.1196783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037086,"about_ca_system_score_gemma":0.001679049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008738715,"about_ca_topic_score_gemma":0.0157981,"domain_scores_codex":[0.9993514,0.00009921796,0.00009167939,0.000243089,0.000114032,0.0001004622],"domain_scores_gemma":[0.9948881,0.003593624,0.0003395121,0.0004277713,0.0005298269,0.0002211511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002880707,0.00005052601,0.003105147,0.004265607,0.0001000573,0.00005904842,0.00004185423,0.0004717121,0.0002114117,0.0005998945,0.9857566,0.005050192],"study_design_scores_gemma":[0.003528323,0.0001611856,0.02682345,0.002376999,0.0003135359,0.0003252698,0.0002039503,0.001069063,0.001042421,0.0051141,0.9589539,0.00008787182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005240428,0.00001642072,0.00003322206,0.00002053189,0.000003764841,0.000007334709,0.9996858,0.00004805839,0.0001324867],"genre_scores_gemma":[0.001452006,0.00006346792,0.0004604057,0.0001147113,0.00001284985,0.0002870903,0.9964046,0.000127299,0.001077541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5742688,"threshold_uncertainty_score":0.6072539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907721869665357,"score_gpt":0.2847971272242689,"score_spread":0.2657199085276153,"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."}}