{"id":"W4394524518","doi":"10.6084/m9.figshare.14168512","title":"Additional file 2 of simATAC: a single-cell ATAC-seq simulation framework","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; University Health Network","funders":"","keywords":"RNA-Seq; Computer science; File format; Database; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000142734,0.0003024328,0.0002981964,0.00005423162,0.00006179611,0.00004619027,0.000355999,0.000829872,0.9814004],"category_scores_gemma":[0.003203736,0.0003344215,0.0002496325,0.0001252375,0.00001764311,0.000004831246,0.0001746827,0.0003106087,0.0008632073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000208682,"about_ca_system_score_gemma":0.0002615655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003906599,"about_ca_topic_score_gemma":0.00002248313,"domain_scores_codex":[0.9986352,0.00005133495,0.0003309885,0.0004917189,0.0002545923,0.0002361249],"domain_scores_gemma":[0.9981372,0.0005673266,0.0003000227,0.000643175,0.0002656747,0.0000865493],"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":[0.0000229712,0.0002019787,1.056239e-7,0.0004841251,0.00004239332,0.0000123631,0.000002100916,0.000235173,0.0004235282,3.083898e-8,0.9984242,0.0001510481],"study_design_scores_gemma":[0.0001324038,0.0001296678,0.000005507081,0.002453791,0.00002280667,0.000003733669,0.000004592617,0.0000761609,0.00217424,0.00000550767,0.9946491,0.0003424686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001245938,0.0002909219,0.000005826032,0.000003541794,0.00008618433,0.0001465269,0.9991839,0.00001093613,0.0002709173],"genre_scores_gemma":[0.00001262476,0.00001053492,0.0006581024,0.000231814,0.0007504104,0.0002195945,0.9975002,0.00003987422,0.0005768476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9805372,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812395813876153,"score_gpt":0.2453171488661211,"score_spread":0.2171931907273596,"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."}}