{"id":"W6958856114","doi":"10.6084/m9.figshare.c.5328121.v1","title":"simATAC: a single-cell ATAC-seq simulation framework","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; University Health Network","funders":"","keywords":"Chromatin; R package; In silico; ChIA-PET; Statistical model","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":[0.002947624,0.00139264,0.00141878,0.0008860632,0.0009773541,0.00199656,0.004486847,0.001719489,0.02632742],"category_scores_gemma":[0.006860908,0.001004787,0.00220416,0.001013876,0.0008370402,0.0009795878,0.001911821,0.002715683,0.007953793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395681,"about_ca_system_score_gemma":0.003762855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288068,"about_ca_topic_score_gemma":0.01292722,"domain_scores_codex":[0.9992006,0.000249266,0.00004917747,0.0001832103,0.0002390118,0.00007861295],"domain_scores_gemma":[0.9978465,0.001287212,0.0001159275,0.000206328,0.0003706455,0.0001732915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003329267,0.000144001,0.003692063,0.0007689087,0.0003814596,0.00024579,0.0002537889,0.8631045,0.006989526,0.04783566,0.05373053,0.02252091],"study_design_scores_gemma":[0.00007151387,0.00002326738,0.000205516,0.00002861116,0.0000239924,0.00002333547,0.00001710739,0.9659501,0.002028788,0.01466196,0.01693537,0.00003045011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01426646,0.0003692112,0.897145,0.0006423947,0.0002492528,0.0003917612,0.02475764,0.05317359,0.009004745],"genre_scores_gemma":[0.1380748,0.0008231912,0.7826954,0.0009723708,0.0001422902,0.004168328,0.03919483,0.02637095,0.007557771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02632742,"threshold_uncertainty_score":0.08807403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3902381974541558,"score_gpt":0.4439022374497102,"score_spread":0.05366403999555441,"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."}}